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Data Architect (T-MSIS) - Healthcare / Fully Remote

Palni IncUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
OracleSQLGitApache SparkAWSETLCOBOLDatabricksUnitySQL ServerCI/CDLinuxDelta LakeIAM

Job description

Role: Senior Data Architect & SME

Location: USA (Remote)

Domain: Healthcare Data platforms, Medicaid/T-MSIS Domain expertise

Duration: 4 months (possibility of extension)

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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