Position Title & Code: Medicaid Data Systems Analyst
Location: Washington, DC 20001
Project End Date: 09/30/2026 (With Possible extension to next fiscal year)
Duties and Responsibilities:
1. Position Purpose
The Medicaid Data Systems Analyst is the functional anchor for the agency's data modernization. This role ensures the technical infrastructure remains trustworthy by leading the implementation of an Enterprise Data Catalog and managing the transition of business logic from TFS/SSIS to the Azure/Databricks environment. They act as the "Metadata Architect," ensuring that all raw MMIS schemas are translated into governed, auditable, and BI-ready assets.
2. Expanded Key Responsibilities
A. Data Catalog Implementation & Metadata Governance
- Business Glossary Ownership: Lead the implementation of the Enterprise Data Catalog (e.g., Microsoft Purview or Unity Catalog)from a functional perspective. Define and maintain the business glossary for all Medicaid data.
- Data Lineage Mapping: Document and verify end-to-end data lineage-from the raw MMIS source table through the transformation layer in Databricks to the final PowerBI report.
- Discovery & Search: Organize the catalog so that policy analysts and actuaries can easily discover Medicaid datasets, understand their sensitivity (PHI/PII), and view their update frequency.
B. Infrastructure & FinOps Support
- Data Reliability Engineering: Support the infrastructure's health by monitoring Data Quality (DQ) dashboards. Alert the Senior Data Engineer if upstream MMIS schema changes cause data drift or pipeline failures.
- FinOps Collaboration: Partner with the Senior Data Engineer to analyze cloud consumption. Identify unused or redundant datasets that can be purged or archived to optimize Azure storage and compute costs.
- Infrastructure Validation: Verify that the "Infrastructure as Code" deployments (Managed by the Engineer) correctly apply the Row-Level Security (RLS) and masking rules defined by the Lead Architect.
C. Schema Transformation & Migration Support
- Legacy-to-Cloud Logic Audit: Translate legacy SSIS logic stored in TFS into clear business requirements for the Engineer to rebuild in Azure Data Factory and Databricks.
- Target Mapping: Take raw table schemas from the current MMIS and define the "Target" format for the Data Warehouse, ensuring it meets the specific needs of modern BI tools.
CONTRACT JOB DESCRIPTION
Responsibilities:
1. Leads the adoption or implementation of an advanced technology or platform.
2. Expert on the functionality or usage of a particular system, platform, or technology product.
3. Serves as a consultant to clients, guiding the efficient use or adoption of a particular IT product or platform.
4. Creates implementation, testing, and/or integration plans.
5. Demonstrates expertise in a particular IT platform or service, allowing for maximum IT investment.
Minimum Education/ Certification Requirements:
- Bachelor's degree in Information Technology or related field or equivalent experience
- Training or certification in a particular product or IT platform/service, as required
Skill Assessment: (Please include the years of experience last used and brief description on skills below, information is to be submitted along with the resume)
| Skill | Required / Desired | Amount of Experience | Years of Experience |
| Expert T-SQL skills for deep-dive data auditing and parity testing between legacy SQL Server and Azure Synapse. | Required | 5 Years | |
| Experience with MMIS data, specifically claims (837), eligibility (270/271), and T-MSIS federal reporting. | Required | 5 Years | |
| Familiarity with TFS (for reviewing legacy logic) and Azure DevOps (for modern project tracking). | Required | 5 Years | |
| Industry certification/training in specific IT product/platform or service | Required | 5 Years | |
| 5 yrs. leading advanced technology projects or service projects | Required | 5 Years | |
| Hands-on experience in specific product or IT platform | Required | 5 Years | |
| 5 yrs full system engineering lifecycle | Required | 5 Years | |
| Bachelor's degree | Required | | |
| Certification in Data Governance (e.g., CDMP) or Cloud Fundamentals (e.g., Azure AZ-900). | Highly desired | | |
| Experience with Power BI or Tableau to validate that transformed data meets visualization requirements. | Highly desired | | |
| Hands-on experience with Microsoft Purview, Collibra, Informatica and Alation | Highly desired | | |