Support the implementation and day-to-day execution of Inmar’s Data Governance program
Assist in building and maintaining automated, repeatable processes that implement data governance policies and standards
Support enforcement of required metadata, tagging, and ownership standards across cloud and on-prem data environments
Help embed governance controls into pipelines and platforms rather than relying on manual or ad hoc processes
Publish and maintain datasets in the enterprise metadata catalog, ensuring required fields such as owner, description, classification, and lineage are captured
Participate in metadata audits and help track adoption and compliance metrics
Help run and validate sensitive data scans (e.g., PII, PHI, PCI) using approved tools and scripts
Apply and verify data classification and asset tagging standards in alignment with enterprise policies
Support audits and reporting related to data access, ownership, and least-privilege enforcement
Assist with tagging and ownership initiatives that enable cloud cost visibility and accountability
Help maintain dashboards and reports that surface governance KPIs for technical and business stakeholders
Follow established Data Governance team standards for communication, documentation, code reviews, releases, and handoffs
Participate in daily standups, Jira updates, PR reviews, and knowledge-sharing activities
Work closely with Data Governance, Data Quality, Privacy, Security, and Data Engineering partners.

Requirements

B.S. in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience (1-3 years)
Experience with Python or another scripting language
Working knowledge of SQL and experience querying large datasets
Familiarity with ETL/ELT processes and workflow management tools (Airflow, dbt, etc)
Familiarity with cloud platforms (GCP or AWS preferred; Azure acceptable)
Understanding of core data governance concepts (metadata, quality, classification, access, lineage)
Strong attention to detail, organization, and follow-through
Clear written and verbal communication skills.
Preferred / Nice to Have Exposure to data governance, metadata, or cataloging tools (e.g., Dataplex, Data Catalog, DLP, BigID)
Experience with relational databases (e.g., MySQL, SQL Server, PostgreSQL)
Exposure to NoSQL databases
Experience with structured and semi-structured data formats (e.g., JSON, Parquet, Avro)
Familiarity with Git/Github, and CI/CD concepts
Experience with troubleshooting, performance tuning, or optimization
Interest in data privacy, compliance, and secure data handling practices.

Benefits

Medical, Dental, and Vision insurance
Basic and Supplemental Life Insurance options
401(k) retirement plans with company match
Health Spending Accounts (HSA/FSA)
Flexible time off and 11 paid holidays
Family-building benefits, including Maternity, Adoption, and Parental Leave
Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning
Wellness and Mental Health counseling services
Concierge and work/life support resources
Adoption Assistance Reimbursement
Perks and discount programs

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonSQLETLELTAirflowdbtGCPAWSMySQLPostgreSQL

Soft Skills

attention to detailorganizationfollow-throughwritten communicationverbal communication