Lead Data Engineer
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Job Description
Lead data architecture and transformation for Fortune 500 insurance clients. Owning enterprise data platforms, delivery teams, stakeholder alignment, and governance through go-live.
Responsibilities:
- Lead the end-to-end data workstream within a major transformation programme
- Architect the integration layer powering reporting and analytics on the client's enterprise data platform
- Scale the workstream and delivery team as programme scope grows
- Partner directly with client programme leadership and senior business stakeholders to align priorities and unblock delivery
- Drive requirements definition and solution design across the data landscape
- Coordinate cross-functional teams spanning business and technology domains
- Own risk, dependency, and governance management across the workstream
Requirements:
- Strong SQL skills for ETL, data modeling, and performance tuning
- Proven track record as a Data Architect, Data Delivery Lead, or Data Transformation Lead delivering enterprise-scale data transformation
- Experience leading complex programmes with multiple, often competing, stakeholders
- Deep fluency in modern cloud-based data ecosystems
- Consulting-grade communication — comfortable presenting to senior business and IT stakeholders alike
- Experience managing distributed delivery teams
- 10+ years of experience in data engineering
- Mandatory: AWS
- Mandatory: Cloud Data Platforms
- Mandatory: Data Lake / Lakehouse Architecture
- Mandatory: Data Integration
- Mandatory: Data Architecture
- Mandatory: Reporting & Analytics
- Nice to Have: Snowflake
- Nice to Have: Dataiku
- Nice to Have: Guidewire
- Nice to Have: Insurance industry experience
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