Data Practice Lead

MLabs

$135K — $160K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data engineering, architecture, or solution architecture.
  • Hands-on experience with cloud data platforms, especially Databricks and/or Snowflake.
  • Experience in pre-sales support, including discovery and proposal development.
  • Solid understanding of enterprise data architecture and governance frameworks.
  • Experience in migrating data from on-prem or legacy systems to the cloud.
  • Ability to evaluate and compare different data platforms and articulate their tradeoffs.
  • Strong client communication skills to simplify technical concepts for business stakeholders.

Responsibilities

  • Architect and guide the implementation of scalable data solutions on cloud platforms like Databricks and Snowflake.
  • Lead pre-sales efforts by assessing client environments and identifying pain points.
  • Advise executives on data strategy, platform choices, and modernization plans.
  • Serve as the authority during delivery, ensuring quality and alignment with project goals.
  • Collaborate with engineering and BI teams to drive innovation and data democratization.
  • Mentor data practitioners and facilitate technical discussions without direct management.
  • Stay updated on advancements in cloud data platforms and AI capabilities.

Benefits

  • Opportunity to work with leading data platforms and cutting-edge technology.
  • Room for growth through mentoring and guiding practitioners.
  • Engagement with high-level executives in transformative initiatives.
  • Involvement in shaping data strategies for prominent organizations.
  • Dynamic work environment that fosters innovation and cross-functional collaboration.
Full Job Description
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.

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