Snowflake Data Engineer
Snowflake Data EngineerLocation: NYC, NYRole type: FulltimeRole Overview: Build and scale cloud data products on Snowflake supporting institutional trading, risk, and regulatory reporting. This is a hands-on build role — you will own pipelines end-to-end from ingestion through curated, governed consumption layers used by front-office, risk, and control functions.Key ResponsibilitiesDesign, develop, and optimize Snowflake data models (staging ? integration ? semantic/consumption layers) for institutional trade, position, reference, and market ingestion pipelines using Snowpipe / Snowpipe Streaming, Streams & Tasks, Dynamic Tables, and external stages against S3.Develop transformation logic in SQL and dbt with version control, CI/CD, and automated testing.Tune performance and cost: warehouse right-sizing, clustering keys, micro-partition pruning, query profiling, result caching, resource monitors, and credit-consumption reporting.Implement data security and entitlements: RBAC hierarchy, dynamic data masking, row access policies, secure views, and secure data sharing across LOBs.Migrate legacy Oracle / Teradata / Sybase / Hadoop workloads to Snowflake, including reconciliation and parallel-run with data governance on lineage, cataloging, data quality rules, and audit/regulatory evidence.Support production: incident triage, root-cause analysis, SLA adherence, and on-call rotation for critical batch cycles.Work in Agile squads with Client, QA, and platform engineering; participate in design reviews and code reviews.Required Qualifications7+ years in data engineering; 4+ years hands-on Snowflake in a production environment.Expert SQL — window functions, CTEs, complex joins, query optimization, execution plan analysis.dbt (Core or Cloud) — models, macros, snapshots, tests, exposures.Orchestration: Airflow, Control-M, or Autosys.AWS: S3, IAM, Glue, Lambda, Secrets Manager.CI/CD and IaC: Git, Jenkins/GitHub Actions, Terraform or Schema change for Snowflake object deployment.Dimensional and Data Vault modeling; slowly changing dimensions; late-arriving data handling.Demonstrated Snowflake cost-governance ownership (not just development).Preferred / Differentiators:SnowPro Core / Advanced Data Engineer tier-1 investment bank or large financial-services experience.