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Job title: Lead Cloud Data Engineer
Seniority level: Senior/Lead
Skills Required:
At Lead level for this role, we're generally looking for candidates who go beyond hands-on delivery and are already operating with broader ownership and influence. Specifically:
· End-to-end ownership of data platforms or product areas – not just building pipelines, but owning design, reliability, and outcomes
· Strong AWS data engineering depth – ability to make decisions across services (Glue, EMR, Lambda, Redshift, etc.), not just use them
· Architecture and design experience – able to define approaches, trade-offs, and patterns for scalable data platforms
· Leadership / influence – either formal team leadership or clear evidence of guiding other engineers and shaping solutions across teams
· Decision-making and problem ownership – candidates should be able to explain why something was done, not just what was implemented
· Clear communication – ability to explain complex systems simply and structure thinking clearly
Strong data engineering skills, including building and optimizing ETL/ELT pipelines.
Responsibilities
Technical Leadership:
o Provide direction and be responsible for the build out of Data Products to
service various operations and regulatory needs.
o Implement software engineering strategy, ensuring that it aligns with the
overall business and product objectives.
o Contribute to the definition of applications development policies, standards,
and procedures.
Mentoring:
o Lead and mentor junior software development team members, fostering a
culture of innovation, automation, collaboration, and excellence.
o Take active part in career development and performance of junior software
development team members.
Project Delivery:
o Execute software projects, ensuring they are delivered on time, within budget,
and meet quality standards.
o Execute project plans and application designs to ensure projects are aligned
with standards and IT strategy.
Job ID: 151617209