Grammarly
Software Engineer, Data Governance
$220K–$290K
Hub - San Francisco +1 · Hybrid · Full-time · Posted Aug 26, 2026
- Location
- Hub - San Francisco
Hub - Seattle - Experience
- 8+ years in large-scale distributed computing systems; 5+ years running live production environments.
- Visa sponsorship
- The company participates in the US federal E-Verify program (US).
About the job
Build and lead data governance systems that enforce privacy, security, compliance, and metadata management across a large-scale data platform.
What you'll do
- Architect scalable governance systems for privacy policy enforcement, metadata, and data lineage.
- Protect data confidentiality and integrity across the platform and guide architectural strategy and roadmaps.
- Partner with Privacy & Legal, Security, and Trust Engineering; mentor engineers.
What they ask for
- 8+ years of experience with large-scale distributed computing systems, including data-intensive applications and data governance systems.
- 5+ years of experience operating live production environments, including high-load systems or data-intensive workflows, with a focus on uptime and reliability.
- Deep hands-on experience with Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar).
- Ability to design scalable, secure data models and architectures, with understanding of data governance and privacy regulations such as GDPR and CCPA.
Nice to have
- Experience with data governance systems such as data deletion, purpose-based access controls, and data exports.
- Experience building metadata management systems or exposure to data classification mechanisms.
Pay
$220K – $290K (base salary)
Tools
Spark, Databricks, Delta Lake, dbt, Snowflake, Iceberg, Hudi, Terraform
AI focus
The data governance systems support data processing from ingestion through analytics and machine learning; no direct AI development is specified.
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