Federal Data Management SME — Health Data Architect

Jimmy Jazz; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

APV seeks a mission-driven Data Management SME to lead data architecture, governance, and analytics for a large-scale federal health care platform. You will own ingestion, validation, and surface data to analysts within a cloud-native Snowflake, Databricks, and Tableau environment on a SAFe Agile program.

This hands-on technical leadership role requires delivering data quality, metadata, and interoperability across enterprise data environments, while ensuring privacy and security compliance for

Qualifications

• Minimum 7 years of relevant experience in data management, data engineering, analytics, data architecture, or data governance.
• Expertise in data modeling, data integration, ETL/ELT, APIs, databases, data quality, metadata management, and governance.
• Must be able to obtain and maintain a High-Risk Public Trust or equivalent federal client access.
• Position requires the current ability to obtain and maintain required access without interruption in alignment with long-term program needs.
• Must be authorized to work in the United States without employer sponsorship now or in the future.

Responsibilities

• Lead data architecture, governance, quality, and interoperability initiatives supporting enterprise data environments.
• Design and maintain data models, ETL/ELT workflows, integration patterns, and data management standards.
• Support enterprise data exchanges, APIs, reporting solutions, analytics environments, and self-service data access capabilities.
• Establish metadata standards, data lineage documentation, master/reference data controls, and data dictionaries.
• Lead data validation, reconciliation, monitoring, analytics, and data quality improvement activities.
• Support cloud-native data platforms, AI/ML readiness, dashboards, reporting, and advanced analytics initiatives.
• Collaborate with architects, engineers, business stakeholders, and data consumers to improve enterprise data accessibility and usability.
• Design and operate near-real-time data shares against an enterprise Snowflake data repository, and build automated ingestion and validation pipelines that eliminate manual data entry and reconciliation.
• Lead data engineering on Databricks, including transformation, curation, and AI/ML data readiness for downstream analytics and reporting.
• Partner with dashboard developers to make Tableau and self-service analytics products accurate, performant, and trusted by non-technical program users.
• Define and enforce data quality rules, lineage, and reference/master data controls across system-to-system integrations with upstream federal data sources.
• Apply PII and PHI safeguards, minimum-necessary data-use rules, and applicable federal privacy and security requirements to every data flow you design.

Skills

Data management

Data engineering

Data governance

Data architecture

Analytics

Education

Bachelor’s degree in Data Science, CS, Statistics, Mathematics, Information Systems, or related discipline

Tools

AWS

Snowflake

Databricks

Tableau

Python/Spark

Job description

APV seeks a mission-driven Data Management SME to lead data architecture, governance, and analytics for a large-scale federal health care platform. You will own ingestion, validation, and surface data to analysts within a cloud-native Snowflake, Databricks, and Tableau environment on a SAFe Agile program.

This hands-on technical leadership role requires delivering data quality, metadata, and interoperability across enterprise data environments, while ensuring privacy and security compliance for