Summary
What you’ll impact
A senior data professional will guide enterprise data architecture, migration, and governance for a large-scale public sector modernization program, handling legacy data environments and cloud-first platforms while embedding privacy, security, and compliance controls. The role collaborates with state agency stakeholders, vendors, architects, and executive leadership to produce documentation, runbooks, and support Agile ceremonies and program planning activities.
Responsibilities
What you'll do
- Lead enterprise data architecture, data governance, and/or data migration efforts.
- Support modernization of legacy data environments into cloud-first platforms.
- Define data standards, data models, metadata, lineage, and governance processes.
- Lead or support data profiling, mapping, cleansing, transformation, validation, reconciliation, and migration readiness.
- Embed privacy, security, regulatory compliance, and data quality controls into data designs and processes.
- Collaborate with state agency stakeholders, vendors, architects, cybersecurity teams, analysts, and program leadership.
- Prepare data architecture documentation, migration plans, governance artifacts, runbooks, scorecards, and executive-ready materials.
- Support Agile ceremonies, design reviews, risk discussions, and program planning activities.
Requirements
What you’ll bring
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field.
- 7+ years of experience in IT, data analysis, data architecture, system modernization, or enterprise data environments.
- 5+ years of hands-on leadership in data architecture, data migration, data governance, or enterprise data management.
- Experience with enterprise data models, data flows, metadata, lineage, data quality, and governance practices.
- Experience with SQL, NoSQL, APIs, ETL/ELT, cloud data platforms, and integration patterns.
- Experience supporting large-scale data migration or modernization projects.
- Working knowledge of privacy, security, compliance, and data protection requirements.
- Strong communication skills with the ability to explain complex technical topics to non-technical audiences.
- Experience with public sector, healthcare, insurance, workers’ compensation, or regulated data environments.
- Experience with Azure, AWS, Google Cloud, Snowflake, Databricks, or similar data platforms.
- Certifications such as CDMP, Azure Data Engineer, Snowflake, or Google Professional Data Engineer.
- Experience with Master Data Management, data stewardship, enterprise governance, or data quality tooling.
- Experience working in Agile or hybrid delivery environments.