Senior Data Engineer
Core
Architect, scale, and govern a next-generation data platform (Data Lakehouse) empowering Data Analysts and business teams to autonomously model, analyze, and leverage data safely.
Role type
Senior Data Engineer (Platform & ML Infrastructure)
Builds
Modern Data Lakehouse, Feature Store, ML Platform, Streaming pipelines, and AI-assisted development workflows.
Domain
FinTech / Data Engineering / Machine Learning Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python, Apache Airflow, dbt, Apache Flink, Spark Streaming, Amazon Redshift, CI/CD, Data Governance, System Architecture
Preferred skills
AI coding assistants (LLMs), Agentic Engineering, Cost optimization, Mentorship
Technologies
Amazon Redshift, Redshift Serverless, dbt, Apache Airflow, Apache Flink, Spark Streaming, Fivetran, Python, SQL
Responsibilities
Lead Data Lakehouse strategy and architecture; Own core dbt framework and analytics engineering; Build and maintain orchestration layers; Own ML Platform and Feature Store; Design streaming transformation pipelines; Integrate AI tools for productivity; Supervise ingestion workflows; Ensure platform performance, cost, and reliability; Design data security and compliance measures; Mentor junior engineers.
Seniority
Senior, hands-on IC with technical leadership
