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Senior Data Quality Engineering Lead
Location : Mountain View (3 days work from client office)
We are currently able to consider only W2 candidates for this role.
Job Description:
Senior Data Quality Engineering Lead
Location : Mountain View (3 days work from client office)
We are currently able to consider only W2 candidates for this role.
Job Description:
- We are looking for a Senior Data Quality Engineering Lead to drive enterprise-scale data quality transformation across streaming, operational, and analytical data ecosystems.
- This role goes beyond traditional data engineering we need someone with hands-on experience building, operating, governing, and continuously improving end-to-end Data Quality Management Systems (DQMS).
- You will lead initiatives focused on improving the quality, trustworthiness, discoverability, governance, and operational integrity of critical enterprise data assets identifying and correcting issues at the source-of-truth level, enhancing governance workflows, and evolving the systems that deliver reliable data to downstream consumers.
- This is a highly cross-functional leadership role requiring deep expertise across data engineering, governance, metadata systems, streaming platforms, operational excellence, and stakeholder management.
- You will also help shape AI/agentic accelerators to scale data quality operations and governance automation across the organization.
- DQMS Operations
- Governance & Metadata
- Kafka / Streaming
- Schema Governance
- Leadership / Stakeholder Management
- Observability / DQ SLAs
- Java/Python Automation
- AI / Agentic Enablement (high-value differentiator)
- 8 years in Data Engineering, Data Quality Engineering, Data Governance, or related enterprise data platforms
- Strong operational experience managing enterprise-scale Data Quality Management Systems (DQMS)
- Proven expertise identifying and correcting source-of-truth data issues and improving upstream data quality
- Deep understanding of data governance, metadata management, lineage, stewardship, and compliance workflows
- Hands-on experience with Kafka, event-driven architectures, and streaming data platforms
- Strong schema management and governance experience Avro, JSON Schema, YAML, IEDM
- Experience with enterprise metadata/catalog platforms DataHub, Collibra, Alation, MyData, or DataMap
- Strong Java and/or Python skills for working with producer systems and automation workflows
- Experience establishing operational metrics, DQ SLAs, observability, monitoring, and remediation frameworks
- Excellent stakeholder management and cross-functional communication skills