Senior Database Engineer - Platform Engineering
Core
Design, build, and engineer cloud-native database platforms across a modern, multi-engine data stack, integrating AI-driven automation and MLOps-ready foundations.
Role type
Senior IC database platform engineer
Builds
Scalable data infrastructure supporting critical applications and analytics
Domain
Cloud data engineering and platform engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Multi-engine database architecture (SQL/NoSQL), Infrastructure as Code (Terraform, CDK), Data pipeline orchestration (dbt, Airflow, Glue), Streaming data engineering (Kinesis, MSK), AI/ML data foundations, Vector database implementation, CI/CD integration, Data governance and security
Preferred skills
Snowflake optimization, AWS certifications, Open table formats (Iceberg, Delta Lake), MLOps tooling (SageMaker, Model Registry), Graph/time-series databases
Technologies
AWS RDS, Aurora, DynamoDB, Redshift, Snowflake, PostgreSQL, Azure SQL, OpenSearch, Kinesis, MSK, dbt, Airflow, Terraform, AWS CDK, Python, SQL, SageMaker, Bedrock
Responsibilities
Design hybrid data solutions spanning relational, columnar, and NoSQL engines; Engineer ELT/ETL pipelines and streaming data ingestion; Optimize NoSQL schemas and caching layers; Implement AI-enabled data quality and vector search solutions; Build database infrastructure as code with automated migrations; Engineer enterprise-grade data governance and security controls
Seniority
Senior, hands-on IC
