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# Only w2 - Senior Data Architect ( T-MSIS / Medicaid is Must) Remote

- **Company:** NASHWAY CONSULTING INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** C (Programming Language), Amazon Web Services, Amazon S3, Audit Trail, Automation of Tests, Cloud Database, COBOL (Programming Language), Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mapping, Data Structures, IBM DB2, IBM InfoSphere DataStage, Linux, Apache Hive, Identity and Access Management, Metadata, Microsoft SQL Server, Medicaid Management Information Systems (MMIS), Oracle (Applications), Reference Data, Standard Sql, SQL Server Integration Services, Informatica Powercenter, Git, Data Lakes, Pyspark, Data Lineage, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/2cd13f04-cff3-49f0-9d68-49f6dd8b1c3f

## About the Role

· 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.

## Description

· 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.