About This Role
Leading the modernization and development of data warehouses is the primary focus of this role, with an emphasis on integration between source systems and data consumers, ETL/ELT processes, and data pipelines. This is a hands-on technical leadership position with strong ownership of engineering standards, architecture, and delivery quality, rather than a pure management or research position.
Responsibilities
- Design, develop, and operate Snowflake-based data platforms supporting analytics and reporting workloads
- Lead end-to-end migration of data infrastructure, including source integrations, ETL/ELT processes, orchestration, and downstream consumer connections, from legacy to modern platforms
- Lead the design of highly decoupled, scalable architectures and reusable integration patterns
- Build and maintain scalable, reliable data pipelines (batch and real-time) using modern cloud data technologies
- Integrate and manage large, complex datasets from multiple internal and external source systems
- Automate data pipelines end-to-end to reduce manual effort and improve stability and maintainability
- Design and implement monitoring, alerting, and error handling frameworks for data pipelines
- Run proof of concept initiatives and drive their evolution into full-scale production rollouts
- Plan and execute migration cutovers, including parallel runs, data reconciliation, and rollback strategies
- Design and optimize data architectures for performance, scalability, and cost efficiency
- Define and apply data governance practices, including data quality, lineage, compliance, and security
- Implement and improve CI/CD, testing, data quality, and observability practices (DataOps)
- Collaborate closely with architects, product owners, and business stakeholders to translate requirements into technical solutions
- Mentor and guide Data Engineers, conduct code and design reviews, and contribute to team growth
- Contribute to platform standards, best practices, and technical evolution across the organization
- Ensure data quality and integrity throughout the migration process, including data validation and reconciliation between source and target systems
Requirements
- 7+ years of experience in data engineering or platform engineering roles, including experience in a technical lead or senior position
- Proven, hands-on experience leading end-to-end data infrastructure migrations (e.g., legacy data warehouse or ETL platform to a modern cloud platform), covering the full scope from source integration through cutover to production stabilization
- Hands-on, production-level experience with Snowflake, including data modeling, ELT patterns, and performance optimization
