Quick Overview
Job Description
Senior Data Architect & T-MSIS SME - Only w2 or 1099
Remote
Long Term Contract
Role Summary
Senior architecture role focused on modern healthcare data platforms, Medicaid/T-MSIS domain expertise, and large-scale modernization using AWS Databricks.
Roles & Responsibilities
· Define scalable data architecture patterns using AWS Databricks, PySpark, Spark SQL, Delta Lake, and lakehouse / medallion architecture principles.
· Design canonical/conformed data models, metadata-driven transformation patterns, reusable rule frameworks, and governed reference-data structures.
· Translate T-MSIS and Medicaid business requirements into technical architecture and data-model decisions.
· Guide modernization of legacy ETL and batch solutions into cloud-native Databricks implementations.
· Provide architectural guidance for source-to-target mapping, state-specific rules, validation, reconciliation, lineage, audit, and data governance.
· Review technical designs, data models, transformation logic, and engineering standards.
· Work closely with business SMEs, mapping analysts, data engineers, QA, and platform teams to resolve complex data and domain issues.
· Mentor engineering teams and provide technical leadership on performance, scalability, maintainability, and security.
Required Skills & Experience
· 10+ years of data engineering / architecture experience, including 3+ years in a senior or lead architect role.
· Strong hands-on experience with AWS Databricks, PySpark, Spark SQL, Delta Lake, Databricks Workflows, and lakehouse / medallion architectures.
· Strong understanding of AWS data-platform services and integration patterns, including S3, IAM, networking/security concepts, and cloud data movement.
· Strong data modeling experience covering raw, conformed, curated, and regulatory-reporting data layers.
· Experience designing metadata-driven / configuration-driven transformation and business-rules frameworks.
· Experience with Unity Catalog, data lineage, access controls, auditability, and governed reference data.
· Strong SQL and experience with Oracle, SQL Server, DB2, flat files, and enterprise source systems.
· Experience modernizing legacy ETL platforms such as DataStage, SSIS, Informatica, C/Linux, COBOL, or custom batch frameworks.
· Experience with Git, CI/CD, code review, automated testing, and deployment practices for Databricks.
· Strong communication skills and ability to convert complex business and regulatory requirements into practical architecture.
Domain Knowledge
· Strong Medicaid / MMIS domain knowledge is required.
· Hands-on T-MSIS experience is highly preferred.
· Understanding of T-MSIS domains including Eligibility, Provider, Managed Care, TPL, Inpatient Claims, Long-Term Care, Other Services, Pharmacy, and Financial Transactions.
· Experience interpreting CMS specifications, source-to-target mappings, validation rules, crosswalks, valid values, and state-specific reporting logic.
· Knowledge of healthcare payer data, claims and encounter processing, provider data, eligibility/enrollment, and regulatory reporting.
· Understanding of PHI-sensitive data environments, state-level data isolation, and healthcare data-governance expectations.
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