Design, implement, and operate data governance processes and master data solutions across the enterprise
Drive domain-level MDM (e.g., Customer, Product, Vendor, Location) including survivorship rules, match/merge, golden record creation, and hierarchy management
Define and execute data stewardship processes; triage master data issues and change requests
Establish policies, standards, and controls for data quality, metadata, lineage, and access
Define business glossaries, data definitions, and critical data elements (CDEs)
Participate in governance councils and run working groups; track adoption and compliance KPIs
Design and implement data quality rules, profiling, and monitoring dashboards for priority data domains
Coordinate issue management and remediation with data owners and engineering teams
Implement preventative/automated checks and SLAs for data reliability across pipelines
Integrate metadata, lineage, and DQ workflows with GCP-native tools such as Dataplex and/or governance platforms (e.g., Collibra/Alation)
Collaborate with data engineering on ingestion, transformation, and model design aligned to governance standards
Align governance and controls with regulatory requirements (e.g., GDPR/CCPA, SOX), security standards, and internal audit findings
Support access reviews, data retention/archival, and sensitive data handling (PII/PHI)
Build training, playbooks, and communications to drive adoption of governance processes
Contribute to enterprise initiatives and participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes
Collaborate with Enterprise Architecture to establish and operationalize core MDM capabilities, including governance, data quality controls, and domain stewardship.

Requirements

5–7 years in Data Governance, MDM, Data Quality, and Metadata Management
Hands-on experience with GCP data ecosystem: BigQuery (SQL, performance tuning, partitioning/clustering), Dataplex (data domains, policies), Data Catalog (tags, metadata, lineage), IAM (RBAC/ABAC, service accounts)
Strong understanding of data quality techniques (profiling, rules, thresholds, remediation workflows)
Experience defining data standards, business glossary, and metadata models
Experience with MDM platforms (e.g., Teradata, Informatica MDM/360, Reltio, Profisee) or custom MDM implementations
Experience with Data Governance tools such as Dataplex, Collibra, Alation, Informatica
Proficient in SQL; familiar with Python or data pipeline tooling a plus
Excellent cross-functional communication and stakeholder management skills.

Benefits

Quarterly profit-sharing bonus
Hybrid Work schedule
Team member appreciation events and recognition programs
Volunteer opportunities
Casual dress code
On demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
Health insurance
401k/401k match
Employee assistance programs and time away – don’t worry, we’ve got you covered.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data GovernanceMaster Data Management (MDM)Data QualityMetadata ManagementSQLData ProfilingData StandardsData ModelingData Quality RulesData Lineage

Soft Skills

Cross-functional CommunicationStakeholder ManagementCollaborationTraining DevelopmentPolicy EstablishmentIssue ManagementChange ManagementAdoption TrackingLeadershipOrganizational Skills