Data Platform Engineer

Summary of Responsibilities

Primary Skills:

• 15+ years of experience in IT, data, and analytics with 10+ years focused on

  product engineering and building data & analytics platforms

  , reusable frameworks, and solution assets.
• Expertise in

  architecting and delivering data-centric frameworks

  for ingestion, quality, governance, validation, and warehousing.
• Strong experience in

  designing and deploying reusable data frameworks

  on platforms like

  Databricks and Snowflake

  , leveraging hyperscalers.
• Skilled in

  ideating and developing innovative solution frameworks

  , translating business needs into scalable technical platforms.
• Hands-on in

  enhancing platform assets

  with AI/Gen AI-driven automation and continuous improvement.
• Define

  platform roadmaps and value propositions

  , collaborating with sales, delivery, and customer success teams to accelerate adoption and delivery.
• Proven ability to

  lead agile teams

  and deliver end-to-end data platform solutions.
• Accountable for the

  entire platform lifecycle

  from design and build to enhancement and maintenance.

Other Skills:

• Experience in

  designing data frameworks and products for domain-specific use cases

  , especially healthcare, is a plus.
• Proficiency in

  data modeling

  (analytical and dimensional).
• Experience in

  taking solutions to market

  , implementing them successfully, and driving faster delivery.
• Exposure to

  legacy data estate modernization

  and automation initiatives.
• Application of

  Gen AI for automation and optimization

  within data platforms.