Data Governance Lead

Qualcomm is seeking a highly skilled Data Governance Lead to spearhead the implementation of enterprise-grade data quality and observability solutions. This role involves designing, implementing, and maintaining robust frameworks and tools to ensure the accuracy, consistency, security, and compliance of enterprise data. The lead will bridge technical execution with governance strategy, enabling trusted data use across various business functions and driving enterprise-wide data quality initiatives.

Must Have

• Lead and implement enterprise-grade data quality and observability solutions
• Design, implement, and maintain frameworks for data accuracy, consistency, security, and compliance
• Bridge technical execution with data governance strategy
• 5+ years of IT-relevant work experience

Good to Have

• Experience with Acceldata, TDQ, and BDQ rule development
• Familiarity with Collibra and strong data governance capabilities
• Experience in data engineering, programming (Java, Python), and distributed data processing (Spark, Databricks)
• Ability to architect scalable data quality frameworks and define governance policies
• Experience with Unity Catalog for metadata capture and lineage tracking
• Technical leadership and mentorship skills

Perks & Benefits

• World-class health benefit options
• Programs to build and prepare for a financially secure future
• Self and family resources for emotional/mental strength and resilience
• Wellbeing programs and resources to support Live+Well and Work+Well

Job Posting Date

2025-12-05

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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+ year 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 Colibra 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
• Automate 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. Errors are not readily apparent due to the complexity of work process/product or time between decisions and results. Errors typically result in significant expenditure of time, resources, and funds to correct.
• Provides technical leadership and mentorship to junior level data engineers. Reviews code, offers architectural guidance, and ensures adherence to best practices in data engineering and governance
• Partners with internal and external stakeholders to translate data needs into scalable technical solutions. Ensures alignment with compliance, security, and business objectives.
• Requires verbal and written communication skills to convey complex and/or detailed information to multiple individuals/audiences with differing knowledge levels. Role may require strong negotiation and influence, communication to large groups or high-level constituents.
• as a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
• Exceptional creativity is needed to innovate new ideas and develop innovative products/ processes without established objectives or known parameters.
• Deductive and inductive problem solving is required; multiple approaches may be taken/necessary to solve the problem; often information is missing or conflicting; advanced data analysis and interpretation skills are required.
• Occasionally participates in strategic planning within own area affecting immediate operations.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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