Staff Data Engineer

Snowflake Performance:

• Diagnose and resolve query, warehouse, concurrency, and workload-performance issues across products.
• Establish workload isolation, sizing, query optimization, benchmarking, and capacity planning practices.
• Build cost-visibility and optimization using measurable workload data.

dbt Standards:

• Define reusable dbt conventions, materialization patterns, macros, packages, and documentation.
• Standardize model testing, incremental transformations, version control, PR checks, and CI/CD quality gates.
• Create reference implementations and templates for teams to adopt independently.

Operational Excellence:

• Establish repeatable data quality, reconciliation, observability, and incident triage processes.
• Improve monitoring and alerting across Snowflake, dbt, Azure, and Datadog with SRE teams.
• Lead root-cause investigations and prioritize durable engineering fixes.

Technical Leadership:

• Guide modernization of legacy SQL and stored procedures into maintainable data architectures.
• Translate enterprise architecture into implementable design patterns and coding practices.
• Mentor engineers and lead cross-team improvements through hands-on delivery and design reviews.