10+ years in analytics or data-engineering delivery, including 3 years leading enterprise programs.
Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and modern orchestration (Airflow, dbt).
Demonstrated experience managing multi-million-dollar budgets and P&L accountability.
Strong SQL and Python (or Scala/Java) skills.
Exceptional communication and presentation skills comfortable with C-suite and technical audiences.
Bachelors or masters in computer science, Engineering, Information Systems, or related field.
Nice-to-Have
Certified in Agile (Scrum), PMP, or Cloud Architecture.
Experience with data-governance tools (Collibra, Alation) and MLOps frameworks.
Prior consulting or managed-services background.
Proven track record in RFP response leadership and crafting successful sales pitches.
Familiarity with infrastructure as code (Terraform, CloudFormation).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time