Description

Key Responsibilities

  • Lead customer discussions, architecture design, and implementation for modern data platform initiatives at enterprise scale
  • Drive DataOps processes including CI/CD pipelines, observability, automation, testing, data lineage, and monitoring
  • Define intake, triage, escalation, and support workflows for BAU operations and SLA management
  • Collaborate with global teams across support, platform, and data engineering for seamless delivery
  • Build reusable frameworks, runbooks, and modules to accelerate onboarding and continuous delivery
  • Serve as a strategic thought partner to leadership on platform scalability, data governance, and modernization
  • Mentor engineers on architectural best practices, performance tuning; participate in architecture reviews and vendor evaluations


 

Required Skills

  • Databricks: Azure Databricks, Delta Lake, Notebooks, Workflows, Unity Catalog
  • Programming & Query: Python, PySpark, SQL, REST APIs
  • Azure Services: Azure Data Factory (ADF), Azure Purview, Azure DevOps, Stored Procedures
  • DataOps & MLOps: CI/CD pipelines, Observability, Data Lineage, AIOps, MLOps

Key Skills
Education

Bachelor's degree

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