Data Practice Lead

Role Overview

As a Data Practice Lead, you will be 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.

What You Will Do

Architect and guide the implementation of scalable data solutions across modern cloud data platforms, lead pre-sales and business development efforts, advise client executives on data strategy, and serve as the architectural authority during delivery.

Why It Might Be a Fit

You will lead through influence, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals. You will also stay current on platform evolution and emerging capabilities across the cloud data ecosystem.

Requirements

• 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