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.
