Data Management SME

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

CLEARANCE:

Must be able to obtain aHigh-RiskPublic Trust

COMPANY OVERVIEW

At APV,we'remore than a technology company -we'rea mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Ourexpertisespans AI/ML, data architecture, low-code/no-code development, AgileDevSecOps, and cloud services, delivering scalable and meaningful solutions.

In our Emerging Technology Lab, innovation drives progress. Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. Ifyou'repassionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007,we'vepartnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations.With 70+ prime contracts and a proven record of client success, APV continues to grow - andwe'relooking for exceptional talent to grow with us.

At APV, we Always Provide Value

POSITION SUMMARY

Seeking a mission-driven Data Management SME to lead the data architecture, governance, and analytics capabilities of a large-scale federal health care platform that manages value-based care model data end to end. You will own how model, quality, and claims data are ingested, validated, shared, and surfaced to analysts and program staff across a cloud-native Snowflake, Databricks, and Tableau environment. This is a hands-on technical leadership role on a SAFe Agile team operating on Program Increment (PI) cadence.

DUTIES

• 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.

EDUCATION

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related discipline.

REQUIRED QUALIFICATIONS

• Minimum 7 years of relevant experience in data management, data engineering, analytics, data architecture, or data governance.
• Demonstrated expertise in data modeling, data integration, ETL/ELT, APIs, databases, data quality, metadata management, master/reference data, analytics, and data governance. Ability to establish data standards and support data interoperability across systems. Experience addressing data security, privacy, and appropriate data-use requirements.
• Must be able to obtain and maintain a High-Risk Public Trust or equivalent federal client access. This role supports sensitive federal programs and involves elevated access to systems and data.
• 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.

PREFERRED QUALIFICATIONS

• Experience with cloud-native data platforms (AWS, Snowflake, Databricks), modern analytics architectures, AI/ML data readiness, and applicable federal data standards or frameworks. Hands-on experience with Tableau, Python or Spark, and CMS or other federal health data assets (for example IDR, CCW or comparable claims and quality data) is strongly preferred.

ABOUT APV

APV is an Equal Employment Opportunity employer. All qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, veteran status, or marital status.