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Information Technology • Professional Services • Consulting • Big Data Analytics
Lead enterprise data architecture and modeling for Medicaid, Medicare, commercial healthcare, and analytics environments. Design conceptual, logical, physical, dimensional, normalized, OLAP, and Data Vault models; define data quality, governance, metadata, security, and compliance practices. Produce model documentation and collaborate with architects, engineers, DBAs, BI developers, and business stakeholders. Support Teradata modernization and migration to Azure Synapse, Databricks, Snowflake, and lakehouse architectures.
Information Technology • Professional Services • Consulting • Big Data Analytics
Lead end-to-end business analysis for data and technology projects: elicit requirements, create BRDs/functional specs/user stories, map processes, profile source data with SQL, build source-to-target mappings and documentation, support agile delivery and UAT, coordinate stakeholders, and present actionable recommendations to clients.
Information Technology • Professional Services • Consulting • Big Data Analytics
Design, build, and support cloud data solutions on Azure: develop ETL pipelines, transformations (SQL/Python/PySpark), data models, storage patterns, quality checks, monitoring, and CI/CD; collaborate with stakeholders and document architecture and runbooks.
Information Technology • Professional Services • Consulting • Big Data Analytics
Validate and test ETL pipelines and EDW extracts for a state Medicaid environment. Review requirements, design and execute test cases (manual and automated), write complex SQL, develop Python-based validation scripts, document defects in JIRA/ALM/Azure DevOps, integrate automation into CI/CD, and collaborate with developers and stakeholders to ensure data quality and compliance with healthcare standards.
Information Technology • Professional Services • Consulting • Big Data Analytics
Design, implement, and maintain Azure-based data pipelines and analytics-ready datasets. Develop transformations, optimize SQL, contribute code across the platform, support production workloads, apply engineering patterns, work with stakeholders, and support CI/CD, testing, and monitoring for analytics and AI/ML use cases.
Information Technology • Professional Services • Consulting • Big Data Analytics
Design, develop, and maintain enterprise ETL pipelines and scalable data processing using ADF, Informatica, Python, Spark/Databricks, and relational systems. Support Medicaid analytics, data validation, cloud migrations, production operations, and CI/CD practices.
Information Technology • Professional Services • Consulting • Big Data Analytics
Perform risk-based monitoring and reviews of subawardees for programmatic, fiscal, and reporting compliance. Analyze financial documentation, monitor spending in PeopleSoft, support corrective action plans, provide technical assistance, maintain audit-ready records, collaborate with internal teams, and assist with audit preparation.
Information Technology • Professional Services • Consulting • Big Data Analytics
Lead risk-based monitoring and compliance for sub-awardees, conduct desk/on-site/virtual reviews, review financials, oversee PeopleSoft spending oversight, guide corrective actions, maintain audit-ready records, coordinate with internal teams, and improve monitoring tools and processes.
Information Technology • Professional Services • Consulting • Big Data Analytics
Support a statewide Informatica MDM program by performing SQL-based data profiling, validation, testing, and reconciliation. Analyze matching and survivorship issues, document findings and remediation, gather business and technical requirements, support UAT/QA, and assist data governance and stewardship to improve cross-agency data quality and MDM operations.
Information Technology • Professional Services • Consulting • Big Data Analytics
Develop, schedule, monitor, and troubleshoot MDM and ETL processes using Informatica MDM. Create mappings, workflows, and scripts; build and tune SQL for Teradata data marts; support production issues, testing, and data governance. Collaborate with QA and stakeholders to validate, optimize, and document MDM solutions.



