Delivery Senior Consultant, Data Engineering and Gen AI

This role focuses on data engineering and conversion solutions, specifically for government clients, with an emphasis on "Gen AI". The core responsibilities involve designing, building, and supporting data pipelines, integration workflows, and performing data mapping, transformation, migration, and validation. While it mentions "Gen AI" and "AI & Data team", the primary focus is on the underlying data infrastructure and engineering, rather than direct AI model development or research. The role is classified as AI-related because it supports AI initiatives through robust data engineering, but the direct AI contribution is more adjacent.

What you'd actually do

  1. Designing, building, and supporting data pipelines and integration workflows for client-facing data platforms and conversion initiatives
  2. Performing data mapping, transformation, migration, and validation activities across source and target systems
  3. Analyzing data requirements and translating business and technical needs into implementation-ready solutions
  4. Collaborating with cross-functional teams to troubleshoot data issues, support testing, and maintain delivery timelines
  5. Preparing documentation, status updates, and implementation artifacts to support project execution and stakeholder alignment

Skills

Required

  • SQL
  • Python
  • AWS
  • Azure
  • GCP
  • data mapping
  • data transformation
  • data migration
  • data validation
  • data engineering
  • data integration

Nice to have

  • government or public sector data programs
  • ETL tools
  • ELT tools
  • Agile delivery methods
  • technical documentation
  • data mapping specifications
  • test artifacts

What the JD emphasized

  • data engineering
  • data integration
  • data migration
  • data validation
  • Gen AI

Other signals

  • data pipelines
  • data integration
  • data migration
  • data validation
  • Gen AI