127 Data Architect jobs in New York

We are seeking a highly skilled and experienced Data Architect to join our team in order to deliver on major business priorities within the Client Financial Platform. As a Data Architect, you will play a critical role in designing, developing, and maintaining our data pipelines within and across our applications. You will lead a team of talented engineers, providing technical guidance and mentorship while ensuring the successful delivery of high-quality solutions. This role requires a deep understanding of data technologies, strong leadership skills, and a passion for data-driven decision-making.

Responsibilities:

• Design and implement data models: Develop conceptual, logical, and physical data models that meet business requirements.
• Develop data warehousing strategies: Design and implement data warehouses and data lakes to support business intelligence and analytics.
• Establish data governance policies: Define and enforce data quality standards, access controls, and security protocols.
• Collaborate with stakeholders: Work with data scientists, engineers, and business analysts to understand data needs and translate them into technical solutions.
• Evaluate and select data management tools: Research and recommend appropriate data management technologies and tools.
• Oversee data migration and integration: Manage the process of migrating data from legacy systems to new platforms.
• Performance tuning and optimization: Monitor and optimize data infrastructure performance to ensure efficient data access.
• Stay up-to-date with industry trends: Keep abreast of the latest developments in data management technologies and best practices.

Qualifications:

• Data modeling: Expertise in various data modeling techniques, including relational, dimensional, and NoSQL.
• Data warehousing: Strong understanding of data warehousing concepts and experience with data warehouse design and implementation.
• ETL processes: Proficiency in designing and implementing Extract, Transform, Load (ETL) processes.
• Database management systems (DBMS): Extensive knowledge of various DBMS platforms, such as SQL Server, Oracle, and MySQL.
• Big data technologies: Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases.
• Business Intelligence: Experience with various BI tools and technologies including Tableau, PowerBI, Microstrategy, etc.,
• Data governance: Understanding of data governance principles and best practices.
• Cloud computing: Experience with cloud-based data platforms like AWS, Azure, and GCP.
• Communication and collaboration: Excellent presentation, communication and interpersonal skills to effectively collaborate with stakeholders.

Experience:

• 8+ years of experience

Education :

• Bachelors or Masters in Computer Science or equivalent field

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In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Build the Future
At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being.

How can you make an impact?

We are seeking a highly motivated and talented Data Architect to support enterprise data initiatives by designing, documenting, and enhancing our modern data architecture. The role is responsible for maintaining data models, applying governance best practices, and enabling analytics through structured, scalable, and trusted data solutions using platforms such as Databricks, Oracle, and Power BI.

The ideal candidate possesses strong analytical and technical skills, including expert SQL proficiency, and a proven ability to effectively communicate complex data insights to both technical and non-technical audiences. This person will also excel in working collaboratively and cross-functionally on a variety of different projects and will welcome opportunities to expand their knowledge and skillset in an evolving data landscape.

For this role, we are looking for someone who will dive deep into the data, using advanced techniques to analyze complex data assets; this person will go beyond traditional data analysis to uncover meaningful insights and drive data-driven decision-making around what to build and why.

This is a remote position open to applicants authorized to work for any employer within the United States.

How can you make an Impact?

• Conduct data analysis and generate insights to inform architectural decisions and improve existing pipelines from end to end.
• Support implementation of the Medallion Architecture (Bronze, Silver, Gold) with structured design and clean data flow across layers.
• Collaborate with cross-functional teams (e.g., Analytics Delivery, back office, data engineering, data science, strategy, and operations) to understand business needs and translate them into actionable data solutions.
• Develop and maintain complex SQL queries, data pipelines, diagrams, and models.
• Design, document, and maintain dimensional models using Kimball methodology to support self-service and reporting use cases.
• Build and maintain interactive dashboards and reports using Tableau and other visualization tools. Mentor junior data analysts and contribute to the professional development of the team.
• Conduct in-depth data analysis to identify data quality issues, usage patterns, root causes, and business impacts.
• Build and maintain data catalogs, metadata definitions, and lineage documentation
• Assist with data ingestion and transformation using Databricks, Python, and Informatica IICS.
• Develop semantic models and visualizations in Power BI, with a focus on enabling business-driven analysis.
• Work with Oracle databases to support both operational and analytical data needs.
  Ensure all data artifacts align to governance standards, quality expectations, and performance benchmarks.

What You Bring:

• Bachelor's degree in related field or equivalent experience preferred.
• Minimum of 4+ years of experience in a related field.
• 5+ years of experience in an analytical or reporting role.
• 2-5 years of experience in data analyst, data engineering, or advanced analytics.
• 5+ years expertise with SQL, Data Blending and/or ELT tools such as Informatica or Alteryx.
• 5+ years of experience with BI tools such as Tableau or Power BI
• 5+ years of experience in designing database structures and relationships with data modeling techniques and creating Entity-Relationship Diagrams (ERDs) using tools such as Erwin, Lucid Chart
• 3+ years of cloud experience such as AWS or OCI
• Proven ability to perform deep data analysis using SQL, Python, or BI tools, identifying patterns, anomalies, and business drivers.

Working knowledge of:

• Oracle and relational data modeling
• Kimball-style dimensional modeling
• Databricks (notebooks, Lakehouse architecture)
• Power BI, Tableau (modeling, DAX, visuals)
• Python for scripting and analysis
• Informatica IICS or other ETL tools
• Familiarity with data governance, cataloging, and metadata practices.
• Strong organizational skills, attention to detail, and the ability to document and explain data decisions clearly.

Preferred Experience & Skills:

• Experience with Salesforce.com (SFDC) platform data integration and analysis.
• Experience with Big data platforms like Databricks and knowledge of storage formats like Parquet, Delta
• Experience with Oracle SaaS applications (e.g., Oracle HCM, Oracle ERP).
• Experience with Python for data analysis
• Experience with data analysis from Product Experience Platforms Pendo, Google Analytics, or Adobe.
• Experience with data integration tools such as Informatica PowerCenter and/or Alteryx
• Experience in the EdTech or SaaS industry.

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

The pay range for this position is between $95,000- $110,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location.An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a "@mheducation.com" email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.

Our not-so-secret sauce.

Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 11,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA).

MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).

A day in the life.

As a Senior Data Architect on the Data team, you’ll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you’ll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform.

Our future colleague.

We’d love to meet you if your professional track record includes these skills:
•    10+ or more years of experience in Information Technology.
•    5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy
•    5 to 7 years of experience in Cloud database technologies.
•    7 to 10 years of experience as a data architect

•  Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table
•    Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise
•    Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores
•    Proficiency in the design of batch and streaming data ingestion
•    Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs
•    Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data
•    Designing and maintaining the data models, including conceptual, logical, and physical data models
•    Experience with SOA data layer utilizing data access frameworks and exposing data via web services
•    Experience with Business Intelligence and data mart architecture
•    Experience creating a data architecture vision between lines of business and IT
•    Demonstrated competency in communicating the value of data architecture to stakeholders and senior management
•    Experience in SDLC processes, database patterns, and development frameworks
•    Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations
•    Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance
•    Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies
•    Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication

•    Knowledge of Informatica – IICS task flows development and maintenance
•    Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database
•    Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM
•    Experience with data integration services such as Azure Data Factory
•    Experience with business intelligence tools; Power BI or Qlik is preferred
•    Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment

These additional qualifications are a plus, but not required to apply:
•    Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point

•    Microsoft Azure Data Engineer or other cloud certifications

•    Data bricks experience and certification

We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.

Valuable benefits.

We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work.

Some benefits included in this role are:
•    Generous time off, including personal and volunteering
•    Tuition reimbursement and professional development opportunities
•    Remote work
•    Charitable contribution match programs
•    Stock purchase opportunities

To learn more about a career at MMA, check us out online: or flip through our recruiting brochure:
Follow us on social media to meet our colleagues and see what makes us tick:

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Who you are is who we are.

We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

#LI-Remote

The applicable base salary range for this role is $113,000 to $197,800.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Applications will be accepted until: September 15, 2025

Job DescriptionJob Description

Data Architect

About Keyrock

Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. 

Today, we rock with over 180 team members around the world. Our diverse team hails from 42 , with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.

We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.

But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. 

At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.

Position Overview

The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

Key Responsibilities

• Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing costs and meeting business requirements.

• Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.

• Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.

• Supporting MLOps Practices: Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.

• Ensuring Data Security and Compliance: Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.

• Data Governance and Management: Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.

• Collaborating with Cross-Functional Teams: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.

• Staying Abreast of Technological Advancements: Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.

• Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability.

• Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

Technical Requirements

• Extensive experience in data architecture design and implementation.

• Strong knowledge of data engineering principles and practices.

• Expertise in data warehousing, data modelling, and data integration.

• Experience in MLOps and machine learning pipelines.

• Proficiency in SQL and data manipulation .

• Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS.

Education & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• certifications (optional):

  • AWS Cloud Data Engineer

  • AWS Machine Learning Ops Engineer

Leadership & Collaboration

• Passion for building scalable, reliable, and secure systems in a fast-paced environment.

• Ability to translate complex technical concepts into clear, actionable insights for technical teams.

• Strong interpersonal skills with the ability to work effectively across cross-functional teams.

• Excellent problem-solving and analytical skills.
  

Our recruitment philosophy

We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.

Our offer

• Competitive salary package

• Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely 

• The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence 

As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.

Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

Job DescriptionJob Description

Job Title: & Azure Data Architect&

Location: & Merrillville, Indiana (Customer office) | Hybrid mode | (Either staying in Merrillville or willing to relocate in Merrillville)

Experience Required: 10- 15+ Years

Industry: Data Cloud Architecture | Digital Transformation

Visa Type : & GC holders, US , EAD

Key Responsibilities

• Lead hybrid responsibilities across architecture, business analysis, and team management.

• Design and implement scalable data solutions tailored to client requirements.

• Drive end-to-end solutioning and delivery for transition, BAU, and Microsoft Fabric migration phases.&

• Act as the main liaison between client stakeholders and offshore delivery teams.

• Create secure and well-governed data environments using Microsoft Fabric.(Mandatory)

• Implement optimal data ingestion strategies (via Data Pipelines, Notebooks, Dataflows Gen2).

• Define and enforce best practices for administration, governance, and DevOps (CI/CD). (Mandatory)

• Translate business requirements into actionable technical stories/tasks.

• Identify and resolve risks proactively; maintain open, clear communication across all teams.

• Foster collaboration and maintain strong working relationships with all stakeholders.

Must-Have Skills Qualifications

• Certification: & Microsoft Certified: Azure Solutions Architect Expert (plus)

• 10-12+ years in data architecture, analytics, and cloud transformation roles (mandatory)

• Strong command of& SQL ,& ETL ,& SSIS , and& SQL Server

• Hands-on experience with& Azure Data Factory (ADF) ,& Azure Synapse ,& Azure Data Lake (ADLS)& (Mandatory)

• Working knowledge of& Microsoft Fabric & and its ecosystem (Pipelines, Notebooks, etc.)

• Strong understanding of& BI solution architecture & with& Power BI (mandatory)

• Effective communicator with proven team leadership and client engagement skills

Good-to-Have Skills

• Familiarity with& Power Platform

• Exposure to& Tableau ,& Python , and& AI-based solutions

• Certification in& Azure Data Engineering & or& Microsoft Fabric (mandatory)

• Project/team management capabilities

Why Consider This Role?

• Work onsite with a major enterprise client on cutting-edge cloud and data transformation initiatives

• Engage in end-to-end solutioning across business and technical domains

• Collaborate with global teams and act as the single point of accountability

• Drive innovation using Microsoft Fabric, Azure Synapse, Power BI, and other modern data platforms

  Ideal for professionals looking for:

  • A long-term contract with stability

  • Onsite engagement and leadership responsibilities

  • Strategic impact on enterprise cloud migration and data architecture

  Ready to architect the future of enterprise data solutions? Apply today to join a team that values innovation, leadership, and deep technical expertise.

This job opportunity is part of an RFP process; candidates are invited to submit their resumes detailing relevant experience

Onsite Requirement : A couple of days onsite required and travel to different sites.

Job Summary: LCG is seeking an experienced Data Architect, Senior to support the modernization of the client Applicant and Administrator Applications. This project involves replacing outdated systems built with DB2 and .NET frameworks with a new, scalable, modern solution. The Data Architect will play a key role in designing and implementing a robust data architecture that enables seamless integration across legacy and new client systems, with a strong focus on DB migration experience, database architecture, and moving from DB2 to SQL Server using both manual and automated methods including Azure Database Migration Service and Azure Migrate.

Key Responsibilities

• Led end-to-end database migration initiatives, transitioning enterprise systems from IBM DB2 to Microsoft SQL Server. This included both manual and automated migration strategies using tools such as Azure Database Migration Service and Azure Migrate.
• Architect and implement the full data lifecycle from ingestion to reporting, including staging, Operational Data Store (ODS), Data Mart, and Data Warehouse (DWH).
• Designing and implementing scalable and secure database architectures to support enterprise-grade applications and analytics.
• Overseeing the full data migration lifecycle-from assessment and planning to execution and validation-ensuring data integrity, minimal downtime, and compliance with governance standards.
• Developing and optimizing ETL processes using SQL Server Integration Services (SSIS) and Azure Data Factory to support seamless data transition and integration.
• Creating and validating reports using SQL Server Reporting Services (SSRS) and building advanced dashboards and visualizations in Power BI to support business stakeholders during and post-migration.
• Utilizing data modeling tools such as ERWin and ER/Studio to document and optimize relational models in the target SQL Server environment.
• Supporting post-migration performance tuning, validation, and cloud optimization leveraging Microsoft Fabric and Azure-native services.
• Design and oversee the development of Extract, Transform, Load (ETL) pipelines to support the integration of data across a mix of legacy and distributed systems.
• Lead DB model design and staging strategies to enable scalable, governed data pipelines.
• Lead the migration of data from legacy DB2 systems to modern SQL Server environments.
• Collaborate with application developers, business analysts, and system architects to ensure accurate data modeling, mapping, and alignment with business rules.
• Design and maintain enterprise data models using tools such as ER/Studio or ERwin.
• Create scalable and secure data structures to support real-time and batch reporting needs, using SQL Server Reporting Services (SSRS) and Power BI.
• Working in a tech stack of DB2, SQL Server, SSRS, SSIS, Power BI, Azure Data Factory, Microsoft Fabric, ERWin, ER/Studio, Azure Migrate, Azure Database Migration Service.
• Define data pipeline governance, quality, and security standards for all new data architectures in compliance with client standards.
• Ensure seamless data synchronization across DOE divisions (e.g., Payroll, HR, etc) and external systems.
• Develop and enforce best practices for SQL tuning, indexing, database performance, indexing, data archiving, and ETL operations.
• Provide mentorship and code review for ETL developers and data engineers.
• Collaborate with the client's Division of Instructional and Information Technology (DIIT) to ensure architecture aligns with long-term IT modernization strategies.

Qualifications

• Experience: Minimum of 7 years of experience in data architecture and integration in large-scale enterprise environments.
• Microsoft SQL Server Data Tools (SSDT)
• SQL Server Reporting Services (SSRS)
• Microsoft Visual Studio
• Data modeling tools such as ER Studio or ERwin
• Power BI for report visualization
• PLSQL
• DB migration experience from DB2 to SQL Server (manual, automated, using tools like Azure Migrate and Database Migration Service)
• DB model design, reporting logic, indexing, and SQL tuning
• Deep knowledge of ETL architecture principles and tools.
• Strong experience modernizing legacy systems and migrating databases (preferably from DB2 to SQL Server).
• Experience integrating transactional systems with data warehouses and reporting platforms.
• Demonstrated ability to architect solutions that scale to meet performance and data integrity requirements.
• Experience with public sector modernization projects, preferably in education or large government agencies.
• Familiarity with cloud-based data solutions (Azure SQL, Synapse, etc.) a plus.
• Understanding of application modernization within Microsoft .NET environments.
• Knowledge of client standards (e.g., security, non-functional requirements, third-party vendor integrations) is a strong plus.

Compensation and Benefits

The projected compensation range for this position is $140,500 to $177,400 per year, benchmarked in the New York area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.

LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.

Devoted to Fair and Inclusive Practices

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at

Securing Your Data

Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.