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
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”
Education
N/A
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