
Data Governance Engineer – Data Quality, Operations
Fiserv
full-time
Posted on:
Location Type: Hybrid
Location: Columbus • Ohio • Texas • United States
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Tech Stack
About the role
- Operationalize the data governance framework with data quality gates, issue intake channels, triage service-level agreements (SLAs), and remediation playbooks for cyber datasets.
- Partner with data stewards to define priority domains, accountable owners, and critical data element (CDE) quality expectations and document them in the data catalog.
- Inventory and rationalize reports and dashboards based on data quality impact and business criticality, and drive remediation plans.
- Deliver quick-win analytics pilots by validating and assuring dataset quality for production use.
- Implement enterprise data quality monitoring integrated with Google BigQuery, Talend, and the metadata catalog.
- Build and support standardized key performance indicator (KPI) dashboards by ensuring datasets meet defined data quality SLAs.
- Expand self-service business intelligence (BI) adoption by defining quality SLAs, creating runbooks, and delivering training for tools such as Microsoft Power BI and Looker.
- Collaborate with data science and engineering teams to ensure models use quality-gated inputs and have ongoing data quality monitoring.
Requirements
- 6+ years of experience in data quality, data engineering, or data governance operations for analytics, risk, or cyber telemetry datasets.
- 6+ years of experience writing advanced SQL and implementing monitoring, alerting, and remediation workflows integrated into CI/CD pipelines or scheduled data pipelines.
- 4+ years of experience implementing or supporting data quality and testing frameworks with platforms such as Google BigQuery and Talend.
- 4+ years of experience inventorying and assessing dashboards and reports, and prioritizing data quality remediation based on business impact.
- 3+ years of experience running incident intake and triage processes, performing root-cause analysis, and driving data quality remediation to closure.
- Skills in collaborating with cross-functional teams (for example, SOC, detection engineering, compliance, and data science) to translate requirements into data quality controls and operational processes.
- Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, Cybersecurity, Data Analytics, or related field, or equivalent combination of education, related experience and/or military experience.
Benefits
- Fuel Your Life program to support your physical, financial, social, and emotional well-being.
- Paid holidays and generous time away policies.
- No-cost mental health support through Employee Assistance Programs.
- Living Proof program to recognize your peers’ extra effort with points redeemable for rewards.
- Eight Employee Resource Groups to foster a collaborative culture and expand your network.
- Unparalleled professional growth with training, development, and internal mobility opportunities.
- Medical, dental, vision, life, and disability insurance options available from day one.
- Retirement planning and discounted shares with the Employee Stock Purchase Plan.
- Tuition assistance and reimbursement program.
- Paid parental, caregiver, and military leave.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data governancedata qualityadvanced SQLdata engineeringmonitoring workflowsalerting workflowsremediation workflowsdata quality frameworksroot-cause analysisdata quality controls
Soft Skills
collaborationcross-functional teamworkcommunicationproblem-solvingtraining delivery