Senior Data Engineer – Platform Foundation

Job summary

The Senior Data Engineer – Platform Foundation is a hands-on, senior-level contributor embedded in the Foundations squad. You will design, build, and evolve the shared ingestion platform that underpins data delivery across the company. The platform is the product - your job is to make it reliable, extensible, and easy for other teams to adopt.

Qualifications

• Support data product exposure: define and implement governed interfaces that make data reliably accessible to internal consumers
• Contribute to Terraform-managed infrastructure; participate in multi-cloud (AWS / Azure) deployment patterns
• AI Tooling & Developer Productivity
• Actively use and evaluate AI-assisted development
• into concrete technical designs - comfortable challenging scope when needed
• Mentor mid-level engineers; participate in hiring and technical assessments
• Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field
• Minimum 5 years in data engineering roles, with at least 2 years in a senior / platform-level position
• Proven track record building production ingestion and transformation pipelines at scale
• Experience contributing to a shared platform or internal developer tooling consumed by multiple teams
• Core Technical

Responsibilities

• You will design, build, and evolve the shared ingestion platform that underpins data delivery across the company.
• Platform Foundation Development
• Design and implement reusable ingestion components using dlt and dbt-core, covering both structured and unstructured data sources, handling high-volume, append-heavy, and schema-drifting patterns
• Own the Airflow platform end-to-end: extend and maintain DAGs and shared operators, handle deployments and version upgrades, and provide hands-on support to consuming teams
• Ensure incremental loading strategies, data quality checks, and lineage metadata are first-class outputs of every pipeline
• Platform Simplification & Architecture
• Identify and eliminate redundant ingestion patterns across consuming teams, drive standardization onto shared Platform Foundation components
• Collaborate with Solution Architects to evolve the platform architecture in response to new data sources and shifting business

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