Data Architect

C-HIT•Columbia, MD

8d•Remote

About The Position

Key Responsibilities: Data Architecture & Design Design and maintain enterprise data architecture for structured and semi-structured healthcare data. Define logical, conceptual, and physical data models. Establish data standards, naming conventions, and metadata management practices. Support event-driven and API-based data architectures. Align data architecture with CMS interoperability mandates (FHIR, HL7). Data Analysis & Insights Analyze large healthcare datasets to identify patterns, trends, and anomalies. Support fraud, waste, and abuse (FWA) detection efforts through data analysis. Develop analytical datasets and data marts for reporting and investigations. Partner with business stakeholders to translate requirements into data solutions. API & Streaming Integration Support data design for API Gateway integrations (MuleSoft or similar). Ensure data consistency across Kafka streaming pipelines and batch sources. Define data contracts and schemas for real-time data exchange. Validate data transformations and mappings across source and target systems. Data Governance & Quality Implement data governance, lineage, and stewardship practices. Monitor and improve data quality, accuracy, and completeness. Support data audits, validations, and remediation efforts. Ensure compliance with HIPAA, CMS, FISMA, and NIST standards. Reporting & Visualization Design and support reports, dashboards, and analytics for program integrity and operations. Support ad-hoc data requests from investigators and oversight teams. Collaboration & Documentation Work closely with architects, developers, QA, and security teams. Participate in Agile ceremonies and data design reviews. Maintain comprehensive documentation of data models, mappings, and architecture decisions.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field.
5+ years of experience in data architecture and/or data analysis.
Strong experience with data modeling (ER, dimensional, normalized models).
Proficiency in SQL and data analysis techniques.
Experience working with large enterprise data environments.

Nice To Haves

Experience supporting CMS, Medicaid, or federal healthcare programs.
Knowledge of HL7 FHIR and healthcare data standards.
Knowledge of CMS CPI systems like PECOS; APS.
Understanding of CMS Medicare Program Integrity Manual.
Experience with API-driven data integration (MuleSoft preferred).
Familiarity with Kafka or streaming data platforms.
Experience with cloud data platforms like AWS.

Responsibilities

Design and maintain enterprise data architecture for structured and semi-structured healthcare data.
Define logical, conceptual, and physical data models.
Establish data standards, naming conventions, and metadata management practices.
Support event-driven and API-based data architectures.
Align data architecture with CMS interoperability mandates (FHIR, HL7).
Analyze large healthcare datasets to identify patterns, trends, and anomalies.
Support fraud, waste, and abuse (FWA) detection efforts through data analysis.
Develop analytical datasets and data marts for reporting and investigations.
Partner with business stakeholders to translate requirements into data solutions.
Support data design for API Gateway integrations (MuleSoft or similar).
Ensure data consistency across Kafka streaming pipelines and batch sources.
Define data contracts and schemas for real-time data exchange.
Validate data transformations and mappings across source and target systems.
Implement data governance, lineage, and stewardship practices.
Monitor and improve data quality, accuracy, and completeness.
Support data audits, validations, and remediation efforts.
Ensure compliance with HIPAA, CMS, FISMA, and NIST standards.
Design and support reports, dashboards, and analytics for program integrity and operations.
Support ad-hoc data requests from investigators and oversight teams.
Work closely with architects, developers, QA, and security teams.
Participate in Agile ceremonies and data design reviews.
Maintain comprehensive documentation of data models, mappings, and architecture decisions.

Benefits

Healthcare Benefits
Remote Working Options
Paid Time Off
PTO cash-out
Training/Certification opportunities
Healthcare Savings Account & Flexible Savings Account
Paid Life Insurance
Short-term & Long-term Disability
401K Match & Profit sharing
Employee Assistance Program
Paid Holidays
much more perks and Voluntary benefits!
Employees of C-HIT shall, as an enduring obligation throughout their term of employment, adhere to all information security requirements as documented in company policies and procedures.