Head of Data Engineering and Solutions

Tasks

• Architect enterprise data platform
• Build CI/CD pipelines
• Create infrastructure as code
• Define data engineering principles and patterns
• Define engineering standards and operating models
• Deliver production data products
• Develop data ingestion frameworks
• Drive platform performance cost optimization and simplification
• Ensure data governance security compliance and privacy
• Implement observability
• Lead distributed engineering teams
• Maintain data lineage and audit readiness
• Manage metadata
• Orchestrate data pipelines
• Own data platform roadmap
• Power analytics reporting and AI ML use cases

Perks/Benefits

• Hybrid work

Skills/Tech-stack

AI/ML | Azure | CI/CD | Cloud automation | Data Architecture | Data Engineering | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Privacy | Data platform | Databricks | Distributed Systems | Enterprise Data | Enterprise data platform | Infrastructure as Code | Metadata Management | Microsoft Fabric | Observability | Pipeline Orchestration | “as-code”