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Data Governance Lead

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Qualcomm
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Company:

Qualcomm Incorporated

Job Area:

Information Technology Group, Information Technology Group >
Systems Analysis

General

Summary:

We are seeking a highly skilled Data Quality Engineer to lead and implement enterprise-grade data quality and observability solutions. The IT Engineer – Data Quality and Governance will be responsible for designing, implementing, and maintaining frameworks and tools that ensure the accuracy, consistency, security, and compliance of enterprise data. This role bridges technical execution with governance strategy, enabling trusted data use across business functions.

This role focuses on implementing and maintaining robust data quality frameworks using Acceldata, with hands‑on experience in TDQ (Technical Data Quality) and BDQ (Business Data Quality) rule development. Experience in the semiconductor industry is a plus but not required. Familiarity with Collibra and strong data governance capabilities are highly desirable.

Minimum Qualifications:
  • 5+ years of IT‑relevant work experience with a Bachelor's degree.
  • or 7+ years of IT‑relevant work experience without a Bachelor’s degree.
Preferred Qualifications:
  • 6+ years of IT‑related work experience with a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • 5+ years of experience in data engineering, with a focus on data quality and governance.
  • 5+ years of work experience in programming (e.g., Java, Python) and distributed data processing frameworks and pipelines (e.g., Spark, Databricks).
  • 3+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above) in a large matrixed organization.
  • 2+ years of working with operating budgets and/or project financials.
  • 2+ years in a technical leadership role with or without direct reports.
  • Hands on experience with Acceldata and Collibra Programming Language.
  • Industry leading cloud and/or data engineering certifications.
Principal Duties and Responsibilities:
  • Helps drive enterprise‑wide data quality and compliance initiatives through governance frameworks, metadata standards, and catalog management. Performs data enrichment, cleansing, validation, and root cause analysis using tools such as Acceldata and Unity Catalog.
  • Support integration of Acceldata with platforms such as Databricks, Unity Catalog, and other enterprise data tools.
  • Architect and implement scalable data quality frameworks that span ingestion, transformation, and consumption layers.
  • Define and enforce quality thresholds, validation rules, and governance policies across data domains.
  • Collaborate with data owners and stewards to baseline quality scores and track incident resolution.
  • Build reusable modules for profiling, scoring, and rule‑based validation using Acceldata and Databricks.
  • Automated data profiling across bronze, silver, and gold layers using Databricks and Acceldata.
  • Implement scoring mechanisms to assess data reliability and business relevance.
  • Monitor schema drift, freshness, and anomaly detection using AI/ML‑enhanced observability tools.
  • Develop observability dashboards for pipeline health, latency, throughput, and error tracking.
  • Integrate Acceldata’s observability engine with Databricks workflows and Unity Catalog.
  • Enable end‑to‑end lineage and impact analysis to support root cause investigations.
  • Configure and manage Acceldata and Collibra for enterprise‑wide data quality and metadata management.
  • Use Unity Catalog for metadata capture and lineage tracking within Databricks.
  • Support governance planning, backlog refinement, and training for data stewards.
  • Produces clear, comprehensive technical documentation for complex systems and processes. Communicates technical concepts effectively to both technical and non‑technical audiences.
  • Stays current with industry trends and emerging technologies in data governance, quality, and engineering. Actively engages with senior leadership and contributes to the evolution of enterprise data strategy.
Level of Responsibility:
  • Working independently with no supervision.
  • Decisions are more significant in their impact, influencing overall program or project success, finances, and/or the ability to meet objectives.…
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