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Senior Data Architect & SME (Healthcare)- Remote - Contract

Palni Inc

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Palni Inc

Job Details

Skills

T-MSIS
AWS Databricks
PySpark
Spark SQL
Delta Lake
Lakehouse and Medallion Architecture
Data Modeling
ETL/ELT
Metadata-Driven Transformation Frameworks
Business Rules
Source-to-Target Mapping
CMS Specifications
Data Validation
Reconciliation
AWS S3
IAM
Unity Catalog
Data Governance
Data Lineage
SQL
Oracle
SQL Server
DB2
Legacy ETL Modernization (DataStage
Informatica
SSIS
COBOL
C/Linux)
CI/CD
Git
Healthcare Claims
Eligibility
Provider Data
Managed Care
Pharmacy
TPL
Regulatory Reporting
and PHI Data Security.

T-MSIS
AWS Databricks
PySpark
Spark SQL
Delta Lake
Lakehouse and Medallion Architecture
Data Modeling
ETL/ELT
Metadata-Driven Transformation Frameworks
Business Rules
Source-to-Target Mapping
CMS Specifications
Data Validation
Reconciliation
AWS S3
IAM
Unity Catalog
Data Governance
Data Lineage
SQL
Oracle
SQL Server
DB2
Legacy ETL Modernization (DataStage
Informatica
SSIS
COBOL
C/Linux)
CI/CD
Git
Healthcare Claims
Eligibility
Provider Data
Managed Care
Pharmacy
TPL
Regulatory Reporting
and PHI Data Security.

Summary

Role: Senior Data Architect & SME

Remote

3+Months Contract(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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10202573
Position Id: 9120709
Posted 3 hours ago

Company Info

About Palni Inc

At Palni, our ambition is matched only by our authenticity. We rely on teamwork to achieve our goals, with a laser focus on surpassing our customers’ expectations. Through collaborative efforts, we ignite innovation and drive growth, crafting solutions that elevate experiences and streamline efficiencies.

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Contact the job poster

Samson Gangaram

Recruiter @ Palni Inc

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Third Party, Contract

50 - 55

Palni Inc

Job Details

Skills

T-MSIS
AWS Databricks
PySpark
Spark SQL
Delta Lake
Lakehouse and Medallion Architecture
Data Modeling
ETL/ELT
Metadata-Driven Transformation Frameworks
Business Rules
Source-to-Target Mapping
CMS Specifications
Data Validation
Reconciliation
AWS S3
IAM
Unity Catalog
Data Governance
Data Lineage
SQL
Oracle
SQL Server
DB2
Legacy ETL Modernization (DataStage
Informatica
SSIS
COBOL
C/Linux)
CI/CD
Git
Healthcare Claims
Eligibility
Provider Data
Managed Care
Pharmacy
TPL
Regulatory Reporting
and PHI Data Security.

T-MSIS
AWS Databricks
PySpark
Spark SQL
Delta Lake
Lakehouse and Medallion Architecture
Data Modeling
ETL/ELT
Metadata-Driven Transformation Frameworks
Business Rules
Source-to-Target Mapping
CMS Specifications
Data Validation
Reconciliation
AWS S3
IAM
Unity Catalog
Data Governance
Data Lineage
SQL
Oracle
SQL Server
DB2
Legacy ETL Modernization (DataStage
Informatica
SSIS
COBOL
C/Linux)
CI/CD
Git
Healthcare Claims
Eligibility
Provider Data
Managed Care
Pharmacy
TPL
Regulatory Reporting
and PHI Data Security.

Summary

Role: Senior Data Architect & SME

Remote

3+Months Contract(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.

Dice Id: 10202573
Position Id: 9120709
Posted 3 hours ago