11 jobs in Onebridge

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 Architect to join our innovative and dynamic team.

As a Databricks Technical Architect, you are responsible for defining the strategic architecture and delivering scalable, high-performance data solutions leveraging Databricks. You have a proven ability to influence senior leadership and align technology decisions with business objectives. You excel at designing modern data platforms, optimizing workflows, and enabling advanced analytics capabilities across large-scale environments. You thrive in Agile settings, collaborating with cross-functional teams to translate complex business requirements into actionable technical solutions. Your expertise in Databricks, medallion architecture, and AI/ML integration positions you as a trusted advisor for enterprise data transformation initiatives.

• Collaborate with business and technology stakeholders to define target architecture, roadmaps, and best practices for enterprise data platforms.
• Design and implement scalable data solutions using Databricks, including medallion architecture, Delta Live Tables (DLT), and Unity Catalog.
• Develop and optimize data pipelines for batch and real-time ingestion, ensuring performance, reliability, and cost efficiency.
• Establish standards for data governance, security, and compliance within Databricks and integrated cloud environments.
• Lead architecture reviews, code assessments, and knowledge‑sharing sessions, promoting best practices across teams.
• Integrate advanced analytics and ML/AI capabilities into data workflows to enable predictive insights and automation.

• 10+ years of enterprise Data Architecture experience, with deep expertise in designing and implementing solutions on Databricks.
• Extensive hands‑on experience with Databricks fundamentals, including cluster optimization, Delta Lake, MLflow, and SQL Warehouse.
• Proven ability to architect big data solutions using Data Lakes, Data Warehouses, and Data Products at scale.
• Experience building real‑time and batch ingestion pipelines, leveraging technologies such as Spark, PySpark, and Delta Live Tables.
• Strong knowledge of data governance, security, DevOps, and MLOps practices for modern data platforms.
• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid architectures is a plus.
• Exposure to advanced analytics and AI/ML techniques, enabling integration of predictive models into enterprise workflows.

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.

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 AI/ML Presales Solutions Architect to join our innovative and dynamic team.

As an AI/ML Presales Solutions Architect, you are the technical authority supporting client conversations early in the sales cycle. You are responsible for understanding client problems, determining the right AI/ML approach, and shaping feasible, valuable solutions that align with both client needs and delivery capabilities. You thrive in exploratory, client‑facing environments where discovery, judgement, and solution framing matter more than hands‑on model building. You partner closely with sales to accelerate opportunities while ensuring we never over‑commit beyond what can realistically be delivered. You bring broad knowledge across AI, data platforms, and cloud ecosystems and are comfortable explaining what is possible, what is not, and the tradeoffs between different approaches.

• Act as the primary technical presales partner, supporting multiple client engagements across discovery, solution design, and capability discussions.
• Lead early client conversations to understand business problems and determine the fastest, most effective path to an AI/ML solution using preferred client technologies.
• Translate open‑ended client challenges, such as model drift, OCR alternatives, AI automation needs, into clear solution approaches, architecture options, and recommendations.
• Define solution architecture, tradeoffs, timelines, and required resources, pulling in delivery teams or subject‑matter experts only when needed.
• Guide the AI Lab and technical teams by synthesizing client discovery into clear direction for demos, proofs of concept, and presentations.
• Create client‑facing materials, including slide decks, architecture diagrams, solution flows, implementation approach, and discovery plans.
• Partner with sales leadership on estimations, pricing inputs, and scope definition, ensuring alignment between proposed solutions and delivery feasibility.
• Stay current on emerging AI tools, platforms, and market trends, continuously evaluating how new capabilities integrate into existing ecosystems.

• 10+ years of experience spanning AI/ML, data platforms, cloud architecture, or advanced analytics, with strong client‑facing exposure.
• Proven experience in sales engineering, presales solutioning, or technical consulting roles supporting enterprise clients.
• Broad knowledge of AI/ML use cases and architectures, with the ability to evaluate solutions across platforms such as Databricks, Snowflake, Azure, Salesforce, and related ecosystems.
• Strong ability to conduct solution discovery, assess feasibility, identify risks, and articulate architectural tradeoffs.
• Experience creating client‑facing presentations, architecture diagrams, and solution narratives that support sales cycles.
• Comfortable working at the intersection of sales, delivery, and technical leadership, knowing when to elevate or pull in additional expertise.
• Excellent communication skills with the ability to explain complex AI concepts to both technical and non‑technical stakeholders.

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 MDM Solution Consultant to join our innovative and dynamic team.

As an MDM Solution Consultant, you are responsible for hands‑on configuration and delivery of enterprise‑grade Master Data Management solutions. You bring deep experience working with MDM concepts and enjoy shaping high‑quality, governed master data through thoughtful modeling, configuration, and rule design. You are comfortable translating business requirements into entity models, match rules, survivorship logic, and stewardship workflows. You thrive in fast‑start delivery environments where speed, quality, and best practices must coexist. In addition to execution, you can contribute to solution visioning and architectural decisions, partnering with architects and stakeholders to ensure the MDM solution is production‑ready, scalable, and aligned with enterprise data strategy.

• Perform hands‑on configuration of the Profisee MDM SaaS platform across core master data domains.
• Design and implement data preparation logic, entity models, attributes, and relationships.
• Configure and tune match, merge, and survivorship rules, including auto‑match and potential match scenarios.
• Implement data quality and data standardization rules aligned with business and governance requirements.
• Partner with business and technical teams to validate MDM configurations, stewardship workflows, and business rules.
• Contribute to solution design discussions by providing recommendations on data ingestion approaches, matching strategies, and stewardship capabilities.
• Support testing, refinement, and documentation to ensure MDM configurations are ready for production deployment.

• 7+ years of experience working with enterprise MDM platforms or master data solutions.
• Strong hands‑on experience with match/merge, survivorship, data quality, and data standardization concepts.
• Proven experience modeling master data entities, attributes, and relationships.
• Familiarity with Profisee MDM or comparable MDM platforms is preferred.
• Solid understanding of data governance, stewardship, and enterprise data management best practices.
• Experience working in client‑facing delivery environments, collaborating with architects, engineers, and business stakeholders.