Principal, Data Governance Platforms

Alignment Health; United States; Remote; USD 150,000 - 225,000; Full time

Job summary

Alignment Health is seeking a Principal, Data Governance Platforms to lead enterprise data governance capabilities, spanning metadata, master data, data quality, and lineage. You will architect and implement scalable governance solutions, partnering closely with data engineering, cloud infrastructure, and enterprise architecture teams.

Responsibilities include defining platform strategy, leading lifecycle operations, and embedding governance into data pipelines.

Qualifications

• Bachelor's degree in Information Management, Information Systems, Computer Science, Data Engineering, Business, Health Informatics, or related field.
• Hands-on platform experience with at least one enterprise data catalog (Purview/Alation), one MDM platform (Reltio/Informatica/Profisee), and one data quality/observability tool.

Responsibilities

• Define architecture for governance platforms including metadata, MDM, data quality, and lineage.
• Lead implementation of governance platforms with integration, testing, and go-live activities.
• Enable governance-aligned data integration, transformation, and standardization in pipelines.
• Design automated governance workflows for quality rules, lineage capture, and MDM matching.
• Maintain lineage and observability across data ecosystems from source to analytics.

Skills

Metadata management

Data catalog

MDM

Data quality

Observability

SQL

Cloud architecture

Documentation

Education

Bachelor's degree

Master's degree (preferred)

Tools

Microsoft Purview

Alation

Reltio

Informatica MDM

Profisee

Acceldata

Informatica DQ

Azure Data Factory

Databricks

Job description

the company is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first.We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the the company community. Working at the company provides an opportunity to do work that really matters, not only changing lives but saving them. Together.

The Principal, Data Governance Platforms is the organization's technical authority for enabling enterprise data governance through purpose-built technology platforms and data management capabilities, spanning metadata, master data, data quality, and lineage. Working at the intersection of data engineering, enterprise architecture, and governance strategy, this role ensures that governance is not just a policy — it is a platform capability that operates reliably at scale. Collaborating closely with data engineering teams, enterprise architects, and governance operations counterparts, the Principal designs and implements the technical infrastructure that makes governance measurable, auditable, and sustainably automated.JOB DUTIES / RESPONSIBILITIES1. Governance Platform Strategy & ArchitectureDefine the technology architecture for enterprise data governance capabilities — including metadata management, MDM, data quality, and lineage — ensuring the platform strategy supports both current operational requirements and future AI and analytics ambitions. Align platform decisions with enterprise data architecture principles and cloud ecosystem standards.

2. Platform Implementation & Lifecycle OperationsLead and execute the implementation of governance platforms, managing configuration, integration, testing, and go-live activities in partnership with engineering and IT teams. Ensure platformsoperateat production-grade standards for performance, availability, and data integrity across all governance use cases.

3. Data Lifecycle Capability EnablementEnable governance-aligned data integration, transformation, enrichment, and standardization capabilities by embedding governance controls directly into data pipelines and processing workflows. Partner with data engineering to ensure governance requirements are built into platform architecture from the ground up, not layered on afterward.

4. Data Integration & Workflow AutomationDesign and implement automated governance workflows — including data quality rule execution, metadata harvesting, lineage capture, and MDM matching — within data pipelines and platform ecosystems. Reduce manual governance overhead by embedding automation at the point of data creation and movement.

5. Lineage, Observability & TraceabilityEnable comprehensive visibility into data flows, system dependencies, and transformation logic to support impact analysis, audit readiness, and root cause investigation. Maintain lineage capabilities that span the full data ecosystem from source systems through to downstream consumption in analytics, reporting, and AI model inputs.

6. Technical Governance Standards & DocumentationEstablish and maintain technical standards for how governance platforms are configured, integrated, andoperated, ensuring consistency across platform implementations and enabling knowledge transfer to engineering teams. Produce platform architecture documentation that serves both technical teams and governance stakeholders.

7. Collaboration with Engineering & Enterprise ArchitecturePartner closely with data engineering, cloud infrastructure, and enterprise architecture teams to ensure governance platforms are integrated into the broader data and technology ecosystem. Translate governance business requirements into scalable technical solutions that align with organizational standards and security controls.

SUPERVISORY RESPONSIBILITIESThis is an individual contributor role with no direct supervisory responsibilities. ThePrincipalleads through deep technicalexpertise, architectural ownership, and cross-functional engineering collaboration.

JOB REQUIREMENTS

Experience

Required:

• 10+ years of experience in data engineering, data architecture, or data governance platform implementation

• Demonstrated experience implementingand operatingenterprise-scale data governance or data management platforms

• Experience integrating governance tooling into cloud-based data platforms and pipelines

• Healthcare industry experience preferred; Medicare Advantage or payer experience is a significant differentiator

• Experience implementing MDM, data catalog, or data quality platforms in a regulated healthcare environment

Preferred:

• Familiarity with HIPAA technical safeguard requirements as they apply to data platform architecture

Education

Required:

• Bachelor's degree in Information Management, Information Systems, Computer Science,Data Engineering,Business, Health Informatics, or a related field

Preferred:

• Master's degree in a relevant technical discipline

Training

Required:

• Hands-on platform experience with at least one enterprise data catalog (e.g., Purview, Alation), one MDM platform (e.g., Reltio, Informatica,Profisee), and one data quality/observability tool (e.g.,Acceldata, Informatica DQ)

• HIPAA technical compliance knowledge as it applies to data platform architecture

Preferred:

• Cloud platform certification (Azure, AWS, or GCP); Microsoft Purview or Databricks certification

SKILLS & COMPETENCIES

Technical / Role-Specific Skills

• Metadata Management & Data Catalog Platforms:Hands-onexpertisewith Microsoft Purview or Alation for metadata ingestion, cataloging, lineage capture, and governance policy enforcement

• Master Data Management Systems:Deep implementation experience with MDM platforms such as Reltio, Informatica MDM, orProfisee; understanding of matching, merging, and golden record architecture

• Data Quality & Observability Tools:Proficiencywith data quality platforms includingAcceldataor Informatica Data Quality; ability to configure rules, scoring frameworks, and alerting at scale

• Data Pipeline & Integration Design:Solid grounding in data engineering practices including ETL/ELT pipelines, API integration, and cloud-native data platforms (Azure Data Factory, Databricks, or equivalent)

• Cloud Data Platforms & Architecture:Experience architecting governance solutions within enterprise cloud ecosystems; working knowledge of cloud security controls, access management, and data classification

• SQL & Data Querying:Proficiencyin SQL for data validation, quality rule development, and governance investigation workflows

• Technical Documentation & Architecture Communication:Ability to produce clear platform architecture documents and translate technical design decisions for non-technical governance stakeholders

Licensure

• Required:None

• Preferred:Microsoft Certified: Azure Data Engineer Associate; Certified Data Management Professional (CDMP),Reltio, Informatica,Profisee,orAcceldatacertifications

Essential Physical Functions:The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Pay Range: $149,882.00 - $224,823.00Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.

the company is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.