[Hiring] App Dev & Support Engineer III/ Data Architect /Data Governance Lead @Conduent

Role Description

We are seeking an experienced Data Architect / Data Governance Lead to support and evolve a large-scale Medicaid Enterprise Data Warehouse (EDW) environment. This role is responsible for enterprise data architecture, data modeling, metadata management, lineage, business glossary ownership, and governance processes, with a strong emphasis on administering and expanding our Dataedo metadata repository.

The ideal candidate combines strong technical architecture expertise with hands-on metadata governance experience and can work effectively with business stakeholders, analysts, ETL developers, DBAs, and project leadership. This position plays a critical role in ensuring trusted, well-documented, scalable, and compliant data assets that support operational reporting, analytics, regulatory reporting, and strategic decision-making.

Key Responsibilities

• Data Architecture & Modeling
  • Design and maintain conceptual, logical, and physical data models for the Medicaid EDW.
  • Define architecture standards for ODS, integration, dimensional, and reporting layers.
  • Lead source system onboarding into the EDW, including claims, eligibility, provider, encounters, finance, and other Medicaid domains.
  • Review new initiatives for data impacts, scalability, integration patterns, and downstream reporting implications.
  • Recommend improvements to warehouse performance, data structures, and overall platform architecture.
• Metadata Management / Dataedo Administration
  • Administer and enhance the enterprise Dataedo platform.
  • Maintain data dictionaries, table/column definitions, business glossary, lineage, and stewardship assignments.
  • Build and govern source-to-target mapping documentation.
  • Ensure metadata standards are followed across projects and support teams.
  • Publish user-friendly documentation portals for business and technical users.
• Data Governance & Lineage
  • Establish governance processes for definitions, ownership, approvals, and change management.
  • Maintain end-to-end lineage from source systems through ETL pipelines to reporting assets.
  • Support impact analysis for schema changes, source changes, and reporting requests.
  • Partner with data owners and SMEs to standardize KPI and metric definitions.
• Medicaid / Regulatory Support
  • Support reporting and traceability requirements for Medicaid operations and regulatory reporting.
  • Help ensure data assets meet privacy, security, and compliance requirements including HIPAA.
  • Assist with audit requests requiring data lineage, documentation, and control evidence.
• Cross-Functional Leadership
  • Partner with ETL developers, BI teams, analysts, QA teams, DBAs, and business stakeholders.
  • Mentor technical staff on modeling standards, documentation expectations, and governance practices.
  • Participate in roadmap planning, release planning, and architecture reviews.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• 7+ years of experience in data warehousing / enterprise data management.
• 5+ years in a Data Architect, Senior Data Modeler, or similar leadership role.
• Hands-on experience with metadata management tools, preferably Dataedo.
• Strong experience with relational databases such as Oracle, SQL Server, PostgreSQL, or similar.
• Strong SQL skills.
• Experience designing enterprise data models, dimensional models, and integration layers.
• Experience documenting lineage and source-to-target mappings.
• Experience working in regulated environments requiring strong controls and documentation.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience supporting Medicaid, healthcare, MMIS/MES, payer, or public sector data environments.
• Experience with ETL tools such as Informatica, SSIS, IICS, Talend, or similar.
• Experience with BI/reporting tools such as Power BI, Tableau, Cognos, or Business Objects.
• Familiarity with cloud data platforms such as Azure, AWS, Snowflake, Databricks, or Google Cloud.
• Knowledge of HIPAA, PHI handling, and healthcare data governance.
• Experience leading data governance councils or metadata programs.

Benefits

• Health insurance coverage.
• Voluntary dental and vision programs.
• Life and disability insurance.
• Retirement savings plan.
• Paid holidays.
• Paid time off (PTO) or vacation and/or sick time.