What Solutions Architect Databricks Jobs are in remote?

Looking for full-time Databricks Solution Architects, for on-site roles based in the Atlanta and Dallas Metropolitan Area. This role is responsible to lead the design and delivery of modern data and AI platforms built on the Databricks Lakehouse architecture, and for defining scalable, secure, and high-performing enterprise data solutions that accelerate digital transformation and analytics initiatives. The ideal candidate combines deep technical expertise with strong consulting and client-facing skills, enabling them to translate business objectives into enterprise-grade architectures while guiding implementation teams through successful delivery.

• Design end-to-end enterprise data and analytics solutions using the Databricks Lakehouse Platform.
• Define scalable reference architectures, data models, integration patterns, and technology roadmaps aligned with business and enterprise architecture standards.
• Lead discovery workshops and collaborate with business stakeholders to gather functional and non-functional requirements.
• Architect robust data ingestion, ETL/ELT, streaming, transformation, governance, and analytics solutions.
• Guide implementation teams on best practices for Databricks, Apache Spark, Delta Lake, Unity Catalog, and cloud-native services.
• Design secure, governed, and cost-optimized data platforms with a focus on scalability, performance, and reliability.
• Integrate Databricks with enterprise applications, ERP platforms, APIs, cloud data services, and modern analytics ecosystems.
• Conduct architecture, design, and code reviews to ensure solution quality and adherence to enterprise standards.
• Optimize data pipelines, workloads, and infrastructure for performance and cost efficiency.
• Mentor data engineers and technical teams while promoting engineering excellence and architectural best practices.
• Create reusable frameworks, accelerators, reference implementations, and architectural assets that strengthen Winfo's Data & AI offerings.
• Support pre-sales activities including solution assessments, architecture proposals, effort estimation, and technical presentations.
• Stay current with emerging Databricks capabilities, AI innovations, and cloud-native data engineering best practices.

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• 12+ years of experience in Data Engineering, Data Architecture, or Analytics solutions.
• 3+ years of hands‑on experience designing enterprise solutions on the Databricks Lakehouse Platform.
• Strong expertise in Databricks components including Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables (DLT), Databricks SQL, MLflow.
• Advanced knowledge of Apache Spark, PySpark, SQL, Python, and/or Scala.
• Experience building enterprise ETL/ELT pipelines, batch and streaming data solutions.
• Hands‑on experience with any one or more cloud platforms - Microsoft Azure (preferred), AWS, Google Cloud Platform
• Strong understanding of data governance, metadata management, security, IAM, and regulatory compliance.
• Experience with CI/CD, DevOps, Infrastructure as Code, and Agile delivery methodologies.
• Excellent stakeholder management, presentation, and consulting skills.

• Databricks Certified Data Engineer Professional or Solution Architect certifications.
• Azure Solutions Architect, AWS Solutions Architect, or equivalent cloud certification.
• Experience implementing Lakehouse modernization and legacy data platform migrations.
• Experience with AI/ML, Generative AI, and Agentic AI solutions on Databricks.
• Healthcare, Life Sciences, or Financial Services domain experience is desirable.
• Experience with Microsoft Fabric, Snowflake, or other modern cloud data platforms is a plus.
• Experience reporting platforms such Power BI, Tableau

Wir machen keine halben Sachen! Unser Team entwickelt robuste und zuverlässige Daten- und Analyselösungen , auf die unsere Kunden sich verlassen können. Als erfahrene/r Databricks Solution Architect passt du perfekt dazu: du verantwortest das Design und die Implementierung unserer Lösungen unter Verwendung von Databricks und in engem Zusammenspiel mit unterschiedlichen Cloud Services.

• Du designst End-to-End-Lösungen auf Basis von Databricks in Kombination mit einem der drei Hyperscaler (Azure, AWS, GCP) und entwickelst Standards für deine Kunden
• Teamwork ist angesagt! Du arbeitest eng mit verschiedensten Kollegen zusammen, bspw. mit unseren Data Engineers und Daten-Architekten, als auch mit unseren AWS/GCP/Azure Profis, und
• Für die optimale Beratung deiner Kunden bist du stets am Puls der Zeit und kannst mit der Feature-Roadmap von Databricks schritthalten
• Du optimierst sowohl Performance als auch Kosten durch deine Expertise in der optimalen Nutzung sämtlicher Databricks-Funktionalitäten
• Du kannst dich auf eine stark wachsende b.telligent Databricks Community mit regelmäßigem Austausch zu neuen Features, Best-Practices und zu knackenden Nüssen aus Kundenprojekten freuen

• Du liebst Daten und bist begeistert von Cloud-Lösungen, genauso wie wir!
• Databricks ist genau dein Ding und du glänzt mit wertvollem Wissen in Bereichen wie Infrastruktur und Workspace-Setup und der zugrundeliegenden Cloud
• Du kannst dich zudem mühelos um Themen wie die Anbindung von Quellsystemen, die Ausgestaltung einer Medaillen-Architektur oder die Versorgung unterschiedlicher Nutzer-Personas kümmern
• Du kennst dich mit unterschiedlichen Architekturvarianten, wie z.B. Lakehouse, Lambda oder klassischen Datawarehouses aus
• Du hast ein gutes Verständnis für DevOps-Praktiken und Erfahrung mit Continuous Integration und Continuous Deployment (CI/CD)
• Kommunikation ist deine Stärke! Du hast Freude daran, deine Ideen (auf Deutsch und Englisch) zu präsentieren und schaffst es geschickt, technische Konzepte einem nicht-technischen Publikum zugänglich zu machen

• Wir bieten Dir ein forderndes, dynamisches und eigenverantwortliches Aufgabenfeld
• Wir sind mit über 400 Mitarbeitern eine der größten BI-Beratungen in der DACH-Region
• Wir arbeiten technologieunabhängig und mit einer Vielzahl an modernsten Tools
• Ein eigenes, jährliches Weiterbildungsbudget. Du entscheidest, in welche Richtung Du Dich weiterentwickeln willst - wir helfen dabei.
• Zudem bieten wir flexible Arbeitszeiten, Zuschuss zum Wellpass und zur Altersvorsorge, Jobrad, Workation, Sabbatical, Mental Health Program.

Wir freuen uns sehr auf deine Bewerbung und spannende Gespräche!

Overview

As a Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

• Architecture & Technology Strategy
  
  
  
  • Perform technology and tools assessments to evaluate market trends and determine the best fit within the enterprise landscape
  
  
  • Evaluate architecture patterns and oversee implementation from concept to production
  
  
  • Conduct research on emerging tools and technologies to recommend cost-effective and innovative solutions
  
  
  • Define and design end-to-end data and AI architectures
  
  
  
  


• Data & AI Solution Delivery
  
  
  
  • Design, develop, and implement data solutions using the Databricks platform
  
  
  • Build scalable data pipelines, analytics solutions, and machine learning models
  
  
  • Leverage Databricks Mosaic AI capabilities for advanced analytics and GenAI use cases
  
  
  • Productionalize customer use cases and deploy enterprise-grade solutions
  
  
  • Ensure projects are delivered on time, within scope, and with high customer satisfaction
  
  
  • Maintain a strong focus on quality, scalability, and performance
  
  
  
  

• 10+ years of hands-on experience in providing solutioning architecture


• Big Data technologies


• Databricks ecosystem


• Machine Learning and Generative AI


• Strong experience with distributed data processing (e.g., Apache Spark)


• Proficiency in Python, SQL, and/or Scala


• Experience designing and implementing enterprise data architectures


• Proven ability to work in client-facing roles and deliver consulting engagements

Databricks Technical Solution Architect | About You

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Databricks Technical Solution Architect to join our innovative and dynamic team.

As a Databricks Technical Solution Architect, you are a strategic and hands-on expert in modern data architecture, focused on helping organizations unlock the full value of their data. You thrive in client-facing roles, partnering with executives such as CTOs and CDOs to guide enterprise-scale transformations and platform decisions. You bring deep expertise in the Databricks Lakehouse Platform and its evolving ecosystem, offering clarity to complex challenges including migrations, governance, and AI enablement. You combine technical depth with business acumen, supporting pre-sales engagements by evaluating client needs, comparing platforms like Snowflake and Databricks, and building ROI-driven solution strategies. You lead cross-functional teams without direct reports, mentor others, and ensure solutions are delivered as designed and aligned with strategic goals. You work effectively in dynamic environments, communicate clearly across technical and business audiences, and consistently deliver practical, high-impact outcomes.

• Architect and implement scalable data solutions using the Databricks Lakehouse Platform, including Medallion architecture, streaming integration, and ACID-compliant designs.
• Lead pre-sales and business development efforts by assessing current-state environments, identifying client pain points, comparing technologies, and justifying ROI for tailored solutions.
• Advise client executives (CTOs, CDOs) on strategic data initiatives, platform evolution, and enterprise-scale architecture decisions.
• Ensure governance and alignment of delivered solutions with original scope, serving as the escalation point for delivery teams.
• Collaborate across cross-functional teams, such as engineering, BI, platform, integration, and AI, to drive innovation and data democratization.
• Mentor and guide data teams, leading discussions and technical delivery without formal people management responsibilities.
• Stay current on product evolution, including Lakehouse Monitoring, Lake Designer, Delta Sharing, Mosaic AI, and Matrix.

• 7+ years of experience in data engineering, solution architecture, or related roles.
• Hands-on expertise with Databricks Lakehouse Platform and cloud-based data technologies.
• Experience supporting pre-sales activities such as discovery sessions, technical demos, and proposal development.
• Strong background in enterprise data architecture, governance frameworks, and scalable solution design.
• Experience with platform migrations including Snowflake, Informatica, and on-prem systems.
• Ability to compare cloud platforms pragmatically and provide cost and ROI analysis (e.g., Snowflake vs Databricks) during pre-sales engagements.
• Proven client-facing skills with the ability to lead strategic conversations and translate technical solutions into business impact.
• Excellent communication and collaboration skills with a transparent, humble, and adaptable approach.

Solution Architect, Databricks Business Group Practice Company Overview

We are a leading global system integrator dedicated to driving digital transformation and innovation for our clients. Partnering with industry leaders, we harness our deep industry knowledge and cutting‑edge technologies to deliver unparalleled solutions. We integrate data, technology, and AI‑first principles into every client interaction, delivering transformative, scalable solutions. This approach drives greater client value, fosters loyalty, and positions us for growth in AI and advanced technologies.

We are seeking a visionary and accomplished individual to lead with a strong focus on Databricks. The ideal candidate will bring deep technical and strategic expertise in Databricks. In this strategic role, you will drive our Databricks differentiated offerings, presales and solutioning efforts in the Databricks Business Group. You will collaborate closely with the Databricks global alliance lead and specialized sales team, to drive joint go‑to‑market efforts that leverage our proprietary intellectual property (IP) in our chosen industry and process focus areas. Your leadership will be instrumental in strengthening our partnership with Databricks and enhancing our global presence.

• Define and own the existing and future set of offerings with Databricks we take to market
• Work closely with R&D teams, marketing and sales to create and take these offerings to market
• Provide Presales and Solutioning support to the sales organizations
• Work closely with clients both as part of the GTM motion as well as on the project delivery part
• Collaborate with senior leadership to deliver to the value proposition of the Databricks CoE and its contribution to the organization’s growth
• Own the talent strategy and build for the Genpact’s Databricks business

• Partner with the Databricks global alliance lead to cultivate and nurture an effective relationship that aligns with mutual goals and objectives
• Collaborate on joint initiatives, sharing insights and perspectives to enhance the partnership’s impact

• Leverage the proprietary intellectual property (IP) owned by the company in our chosen industry and process focus areas to create differentiated offerings on the Databricks platform
• Drive the identification, assessment, and development of solutions that merge our IP with Databricks /AWS services
• Collaborate with marketing and sales teams to design and execute joint go‑to‑market strategies that showcase the combined strengths of our company and Databricks
• Develop compelling messaging, collateral, and sales enablement tools to support business development efforts

• Lead a team of experts to architect, design, and develop innovative solutions that harness the capabilities of Databricks while incorporating our industry‑specific insights and IP
• Ensure solutions align with best practices, standards, and compliance requirements
• Leading modernization and migration strategies for legacy system transitions to cloud‑native, AI‑ready architectures
• Develop and communicate a compelling AI strategy that leverages Databricks AI and ML capabilities to drive business value and competitive advantage
• Lead the integration of AI/ML capabilities into our service offerings, including Generative AI and LLM‑based solutions
• Establish best practices for responsible AI deployment, including ethics, transparency, and governance frameworks
• Guide clients on AI adoption strategies, ROI measurement, and organizational change management for AI transformation
• Databricks AI capabilities and solutioning

• Establish the Databricks Business Group as a thought leader in the industry by contributing to webinars, white papers, industry events, and other knowledge‑sharing initiatives
• Drive engagement and collaboration with internal and external stakeholders to foster innovation and expertise
• Position the organization as an AI thought leader through speaking engagements and industry contributions

• Define key performance indicators (KPIs) and metrics to assess the success and impact of Databricks /AWS Business Group initiatives
• Regularly report on progress and outcomes to senior leadership and stakeholders

• Bachelor’s degree in Business, Engineering, Computer Science, or related field (Master’s degree preferred)
• Proven experience of at least 8 years in senior leadership roles within a technology consulting, system integration, or related field
• In-depth expertise in Databricks services, architecture, and cloud solutions, with certifications being a plus

• Strong business acumen and strategic thinking, coupled with exceptional communication and interpersonal skills
• Demonstrated ability to build and foster relationships with partners, customers, and internal teams
• Entrepreneurial mindset with a track record of driving innovation and transformative change
• Experience in developing and launching successful joint go‑to‑market initiatives with technology partners
• Leadership experience in managing high‑performing teams and promoting a culture of collaboration and excellence
• Demonstrated vision and strategic thinking in AI/ML strategy development and execution
• Deep understanding of Generative AI, Large Language Models (LLMs), and their business applications
• Knowledge of AI ethics, responsible AI practices, and governance frameworks for AI deployments
• Experience in helping organizations define AI strategies, assess readiness, and execute AI transformation initiatives
• Ability to translate complex AI/ML concepts into business value propositions for clients
• Familiarity with leading AI tools, platforms, and services
• Advanced knowledge of data governance, data quality, and data lineage in the context of AI and analytics
• Understanding of data architecture patterns that support both traditional analytics and AI/ML workloads
• Experience driving data‑driven decision‑making culture within organizations

• Relevant industry expertise in verticals where Databricks and AI solutions drive significant value
• Strong technical foundation to engage with architecture and solution design discussions
• AWS or Databricks certifications (Solutions Architect, Data Engineer, MLOps, or equivalent)
• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career – Get hands‑on experience, mentorship, and continuous learning opportunities
• Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day
• Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness – built on a foundation of integrity and inclusion – allow your ideas to fuel progress

The approximate annual base compensation range for this position is $160,000 to $200,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.

Work‑from‑Anywhere Roles – Los Angeles California‑based candidates are not eligible for this role.

Location‑based Roles – Los Angeles, California based candidates are not eligible for this role. Dallas Metro area candidates are eligible for this role only.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Solutions Architect – Databricks (Remote)

We partner with global enterprises to design and build large‑scale data platforms that power digital products used by millions of users. Our work involves complex data ecosystems, cloud‑native architectures, and high‑volume, high‑impact use cases.

• Design end‑to‑end data architectures on AWS, with Databricks at the core
• Own architectural decisions across data pipelines, cloud infrastructure, and platform integrations
• Translate complex business and product requirements into robust, scalable technical solutions
• Define standards, patterns, and best practices for building with PySpark, Python, SQL, and Databricks
• Act as a technical leader and advisor for engineering teams
• Collaborate closely with product, data, and engineering stakeholders to ensure architectural alignment and long‑term scalability
• Review designs and implementations to ensure performance, security, reliability, and cost efficiency

• 8+ years of experience in data engineering, solution architecture, or related roles
• Proven experience designing enterprise‑grade data platforms and architectures
• Deep, hands‑on expertise with Databricks (production and architectural experience required), AWS, PySpark, Python, and SQL
• Strong understanding of distributed data systems, cloud‑native architecture principles, and data modeling and integration patterns
• Excellent communication skills and ability to work directly with technical and non‑technical stakeholders
• Fluent English, both written and spoken

Fully remote. Candidates must be based in Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

• Flexible working hours in a remote environment
• Health insurance (medical and dental) for W2 Employees
• 401K contribution
• A professional development fund to enhance your skills and knowledge
• 15 days of paid time off annually
• Access to soft‑skill development courses to further your career

Director

Full‑time

Consulting, Engineering, and Strategy/Planning

$75,000 – $140,000 annually

Solution Architect – Data & AI Platforms (Databricks, AWS, Snowflake)

• Primary location is our Atlanta, GA office; expectation of 4 days per week in office and 1 day remote.
• This is a client‑facing solutioning role with approximately 50% travel for technical workshops, stakeholder discussions, and on‑site collaboration with customers.

This role focuses on designing secure, scalable, and high‑performance data and AI platforms across AWS, Snowflake, and Databricks that power advanced analytics, machine learning, and agentic AI solutions end‑to‑end. You will work closely with clients, engineering teams, and business stakeholders to define modern data and AI architectures, shape roadmaps, and guide implementation from early discovery through production.

As a Solution Architect in our Data & AI Solutions Team, you will be a key technical leader driving adoption of Databricks and cloud‑native AI capabilities. You will lead architectural assessments, propose target‑state designs for data, ML, and LLM/RAG workloads, and support deal cycles with clear, outcome‑oriented solution options, including value, cost, and risk trade‑offs. You will also contribute to the development and continuous improvement of our Data & AI platform offerings and go‑to‑market accelerators. Your expertise in Spark, Databricks, and the AWS data stack will enable you to mentor others, standardize AI‑ready patterns, and help clients unlock business value from their data and models.

• Lead technology assessments and data/AI platform architecture designs across AWS, Snowflake, and Databricks, including batch, streaming, Lakehouse, feature stores, and ML/LLM serving patterns.
• Design, document, and validate end‑to‑end data and ML/LLM solutions covering ingestion, modeling, ETL/ELT, feature engineering, and performance optimization.
• Architect data and vector foundations and orchestration patterns that enable LLM, RAG, and agentic AI use cases on Databricks and cloud‑native services.
• Partner with business stakeholders to translate analytic, ML, and AI use cases into technical solutions, implementation roadmaps, and non‑functional requirements such as scalability, resilience, availability, and observability.
• Define and champion data and AI governance, security, and compliance practices (including model/data lineage, access control, and responsible‑AI guardrails) in collaboration with security, networking, and platform teams.
• Provide technical advisory services in deal cycles for data, ML, and GenAI initiatives, including discovery workshops, solution optioning, estimates, and proposal content tied to business value and ROI.
• Guide delivery teams during implementation of data, ML, and LLM/RAG solutions through backlog refinement, design reviews, and risk/issue resolution, ensuring adherence to reference architectures and standards.
• Mentor data engineers, ML engineers, and junior architects, promoting architectural excellence and best practices in modern data and AI engineering.
• Develop and maintain reference architectures, standards, and reusable accelerators for data platforms, MLOps, and GenAI workloads.
• Contribute to the design and evolution of our Data & AI platform offerings, including reusable blueprints, accelerators, and best‑practice implementation guides for analytics, ML, and LLM solutions.

• 8+ years in data architecture or engineering roles with hands‑on implementation experience on at least one major cloud (AWS).
• Deep, practical experience with Spark and the Databricks Lakehouse platform (Delta, cluster configuration, performance tuning).
• Strong proficiency with AWS data services such as S3, Glue, Redshift, Lambda, and related security/networking concepts.
• Practical expertise designing and operating Snowflake environments, including roles, warehouses, and cost/performance optimization.
• Strong SQL and solid Python skills for data transformation, orchestration, and solution prototyping.
• Proven track record delivering large‑scale, high‑volume data platforms that support analytics, ML, or AI workloads in production.
• Familiarity with modern data engineering tooling (for example dbt, Airflow or similar orchestrators, CI/CD for data solutions).
• Nice to have: Working literacy in Power BI or Tableau to ensure data models are BI‑friendly and support downstream reporting needs.
• Excellent client‑facing communication skills and the ability to lead technical discussions with architects, engineers, data scientists, and business leaders.
• Alignment with consulting values: people‑first mindset, high character and hard work, and a bias toward ownership and clarity.

I did my part and supported the Regular Toilet is seeking a Big Data Solutions Architect in Denver, Colorado. In this role, you will work with clients on their big data challenges using the Databricks platform, focusing on data engineering and data science projects.

You will provide guidance on architecture and implementation of customer projects, ensuring successful outcomes through excellent customer service. Strong experience in data engineering and familiarity with cloud ecosystems is required.