Principal Software Engineer

What you'll do

• Design and implement data platform capabilities across ingestion, processing, orchestration, storage, cataloging, governance, and access.
• Set and uphold data freshness, availability, and correctness SLOs; lead readiness reviews, incident response, and post-incident learning.
• Establish data contracts, connectors, and templates; tune systems for performance and cost, and use AI to improve data workflows.

What they ask for

• 10+ years building and operating distributed data systems with multi-tenant reliability.
• Expertise in data ingestion/CDC, stream processing, batch orchestration, lakehouse patterns, catalog/lineage, governance, and access controls.
• Experience applying ML/GenAI to data platforms with human-in-the-loop review and privacy controls.
• Ability to influence across teams and enable others through design docs, pairing, and standardized platform capabilities.

Nice to have

• Regional isolation/replication strategies, privacy-by-design, or data governance in regulated contexts.
• Experience establishing adopted standard ingestion, processing, and storage paths and schema governance.

Pay

$244,000 — $366,000 USD base salary

Tools

Kafka/PubSub, Flink/Spark/Beam, Airflow/Dagster, Iceberg/Delta/Hudi, Snowflake/BigQuery

AI focus

Apply ML/GenAI to data platforms, including semantic catalog search, auto-documentation, data-quality anomaly detection, and SQL/pipeline generation, with human review and privacy controls; use AI to streamline data workflows.