Data Platform Architect
Core
Lead designer and technical authority for a modern data ecosystem, ensuring high-performance, cost-effective, and secure foundations that evolve with business needs.
Role type
Senior IC Data Platform Architect
Builds
Production-grade Lakehouse environments, decoupled data environments, automated data governance, and data pipelines.
Domain
Cloud data engineering, Lakehouse architecture, FinOps
Deliverable
production ML models | product features | infrastructure
Required skills
Data architecture design, Lakehouse implementation, Open-table formats (Apache Iceberg/Delta Lake), SQL-based modeling (dbt), PySpark/Python, Data orchestration (Apache Airflow), Cloud storage-compute separation (AWS/Azure/GCP), Kubernetes management, Data governance & security, Performance optimization, Technical documentation
Preferred skills
Vectorized/embedded engines (DuckDB), Open-source catalog implementations (Apache Polaris), Fixed-resource vs elastic serverless infrastructure management, C-level executive communication
Technologies
Databricks, Amazon Redshift, Snowflake, Apache Iceberg, Delta Lake, dbt, PySpark, DuckDB, Apache Airflow, AWS, Azure, GCP, Kubernetes
Responsibilities
Lead architectural decisions for compute engines and storage design; Architect decoupled data environments to prevent vendor lock-in; Design automated data governance and security controls; Define standards for data pipelines and CI/CD patterns; Maintain Architectural Decision Records (ADR); Monitor and optimize platform performance and cloud spend; Conduct code/design reviews and mentor senior engineering staff.
Seniority
Senior, hands-on IC with strategic direction
