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Technical Lead - Operational Data Governance & Modernization
Job in
Newark, New Castle County, Delaware, 19711, USA
Listed on 2026-07-15
Listing for:
Photon
Full Time
position Listed on 2026-07-15
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Job Title :
Technical Lead - Operational Data Governance & Modernization Location :
Newark, DE
Owns end-to-end delivery of how operational data is modeled, governed, and moved across the organization — from relational/canonical models and master data through schema-first contracts into the enterprise warehouse. Sets the standards for data quality, compliance (PII), and "contract as code" governance, but is measured on delivery outcomes — runs the offshore team day-to-day and stays hands-on to unblock delivery risk.
Descriptionfor Internal Candidates
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 No
SQL patterns where relational modeling doesn't fit. - 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.
- 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 No
SQL patterns are appropriate. - 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).
- 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 Snow Pro, AWS Data Analytics Specialty).
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