Data Practice Lead
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Marlabs
US
Summary
The Data Practice Lead will architect scalable data solutions and guide enterprise-scale data transformations across modern cloud platforms. They will also lead pre-sales efforts, advise client executives on data strategy, and mentor technical teams to ensure successful project delivery.
Job Description
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Practice Lead to join our innovative and dynamic team.
Data Practice Lead | About You
As a Data Practice Lead, you are a strategic and hands‑on expert in modern data platforms, helping organizations unlock the full value of their data across analytics, AI, and cloud ecosystems. You thrive in client‑facing roles, partnering with executives such as CTOs and CDOs to guide enterprise‑scale data transformations and platform decisions. You bring deep experience designing and evaluating solutions across leading cloud data platforms—such as Databricks and Snowflake—and provide clarity for complex challenges including migrations, governance, and AI enablement. You combine technical depth with strong business acumen, supporting pre‑sales engagements by assessing client needs, comparing platforms, and building ROI‑driven solution strategies. You lead through influence rather than hierarchy, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals.
Data Practice Lead | Day-to-Day
- Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging best‑practice patterns and reference architectures.
- Lead pre‑sales and business development efforts by assessing current‑state environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions.
- Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise‑scale architecture decisions.
- Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams.
- Collaborate with cross‑functional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization.
- Mentor and guide data practitioners, leading technical discussions and delivery execution without direct people‑management responsibilities.
- Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.
Data Practice Lead | Skills & Experience
- 10+ years of experience in data engineering, data architecture, solution architecture, or related roles.
- Strong hands‑on experience with modern cloud data platforms, including Databricks and/or Snowflake.
- Proven ability to support pre‑sales activities, including discovery sessions, technical evaluations, demos, and proposal development.
- Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design.
- Experience leading or supporting platform migrations from on‑prem or legacy systems to modern cloud data platforms.
- Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI.
- Strong client‑facing communication skills with the ability to translate complex technical concepts into clear business outcomes.
Marlabs is your trusted AI transformation partner with 30 years of experience solving modern challenges, with a proven track record of delivering complex technology solutions to Fortune 500 clients across financial services, life sciences, healthcare, manufacturing, telecom, media, technology, and other industries. With deep experience in data engineering, advanced analytics, and digital product engineering, we design, build, and scale intelligent digital solutions that equip organizations to thrive in an AI‑driven world.
At the heart of our approach is Marlabs AgilityAI—a Full‑Cycle Enterprise AI Transformation Suite that unifies strategic discovery, agentic AI accelerators, and a robust governance model, enabling organizations to adopt AI with low risk, faster time‑to‑value, and proven ROI. AgilityAI brings together domain‑trained models and data orchestration frameworks to help enterprises deploy AI confidently at scale. Through our AI Labs, we help clients rapidly incubate and prototype new solutions by blending cutting‑edge research with agile engineering to bring digital products to market faster.
Marlabs operates across the United States, Germany, Canada, Brazil, Bulgaria, Switzerland, and India, with its headquarters in New York. With our globally distributed team of 2,200+ AI, data, and digital solutions experts, Marlabs focuses on operationalizing AI as a core business capability, enabling organizations to move from experimentation to execution with solutions that deliver sustained, quantifiable value.
Company size
1,001-5,000 employees
Industry
Business Consulting and Services
Org type
Privately Held
Headquarters
New York, New York
Marlabs is your trusted AI transformation partner with 30 years of experience solving modern challenges, with a proven track record of delivering complex technology solutions to Fortune 500 clients across financial services, life sciences, healthcare, manufacturing, telecom, media, technology, and other industries. With deep experience in data engineering, advanced analytics, and digital product engineering, we design, build, and scale intelligent digital solutions that equip organizations to thrive in an AI‑driven world.
At the heart of our approach is Marlabs AgilityAI—a Full‑Cycle Enterprise AI Transformation Suite that unifies strategic discovery, agentic AI accelerators, and a robust governance model, enabling organizations to adopt AI with low risk, faster time‑to‑value, and proven ROI. AgilityAI brings together domain‑trained models and data orchestration frameworks to help enterprises deploy AI confidently at scale. Through our AI Labs, we help clients rapidly incubate and prototype new solutions by blending cutting‑edge research with agile engineering to bring digital products to market faster.
Marlabs operates across the United States, Germany, Canada, Brazil, Bulgaria, Switzerland, and India, with its headquarters in New York. With our globally distributed team of 2,200+ AI, data, and digital solutions experts, Marlabs focuses on operationalizing AI as a core business capability, enabling organizations to move from experimentation to execution with solutions that deliver sustained, quantifiable value.
Company size
1,001-5,000 employees
Industry
Business Consulting and Services
Org type
Privately Held
Headquarters
New York, New York