Lead Data Engineer | Onsite - Delaware

Key Responsibilities 

• Own delivery of relational and canonical data models and the organization's MDM (master data management) strategy. 

• Set standards for advanced SQL usage and appropriate use of NoSQL patterns where relational modeling doesn't fit. 

• Define schema-first data contract design using JSON Schema/Avro/Protobuf. 

• Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines. 

• Own delivery of the Snowflake/enterprise data warehouse and data pipelines between ODS and warehouse. 

• Drive delivery of data change detection (CDC) and the data validation/quality testing framework. 

• Own "contract as code" governance: data schema management via CI/CD and Git-based data governance. 

• Select and stand up appropriate AWS data services for the platform. 

• Run day-to-day delivery of the offshore team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path pipelines. 

• Report delivery status, risks, and blockers to engineering leadership. 

Must-Have Qualifications 

• 8+ years in data engineering, with 3+ years as a tech lead owning end-to-end delivery (not a pure design/review architect role). 

• Proven track record of shipping data platforms on committed timelines, including hands-on troubleshooting under delivery pressure. 

• Deep expertise in relational and canonical data modeling and MDM design. 

• Expert-level SQL and solid understanding of when NoSQL patterns are appropriate. 

• Proven experience designing schema-first data contracts (JSON Schema/Avro/Protobuf). 

• Experience architecting data catalog tooling and PII classification/data regulation compliance (critical given financial-services context). 

• Strong hands-on architecture experience with Snowflake or an equivalent enterprise data warehouse. 

• Proven design of data pipelines between operational data stores and the warehouse. 

• Experience architecting change-data-capture and data validation/quality frameworks. 

• Demonstrated experience implementing "contract as code" — schema management via CI/CD, Git-based governance. 

• Solid knowledge of relevant AWS data services (e.g., RDS, Redshift, Glue, DMS, Lake Formation). 

• Financial-services or similarly regulated-industry data governance experience is strongly preferred. 

• Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability). 

Nice-to-Have Qualifications 

• Experience with specific data catalog tools (e.g., Collibra, Alation, AWS Glue Data Catalog). 

• Exposure to multiple warehouse platforms beyond Snowflake. 

• Experience building data-quality frameworks with tools like Great Expectations or dbt tests. 

• Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty). 

Compensation, Benefits and Duration

Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post