Back
Senior, specialized data integrations role reduces applicant density despite metro location and modest company brand.
Core data engineering skills transferable across industries, although integrations and governance need some domain knowledge.
Senior-level data integrations expectations and governance expertise create moderate screening despite no explicit years requirement.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and maintain canonical data models, contracts, and schema standards for partner-built integrations.
Review and validate integration designs and data mappings, providing technical guidance on ETL/ELT patterns and validation logic.
Develop data validation frameworks, observability tooling, and integration quality metrics; act as escalation point for ingestion issues.
Experience with ETL/ELT design, data modeling, and integration validation.
Work Experience Required: Not explicitly mentioned in the JD
Familiarity with data governance standards and corporate security policies.
Ability to collaborate with DevOps, Infrastructure, Data Engineering, and Product teams.
Experienced in designing scalable data ingestion and integration frameworks in complex data environments.
Skilled in applying data governance and security standards in integration domains.
Operates at a senior technical level providing guidance and championing best coding/documentation practices within data teams.