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Data Governance Architect Jobs (NOW HIRING)

Curate Partners

Data Governance Architect

Cambridge, MA

$69.75 - $89.50/hr

Job Summary We are seeking a Data Governance Architect to design and implement enterprise data governance capabilities across modern pharma data platforms. The ideal candidate has deep experience in ...

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SmartIT Frame

Alation Data Governance Architect

Tampa, FL

$58 - $74.50/hr

Role - Alation Data Governance Architect Location - Tampa, FL (Onsite) Seeking a Data Governance Architect to design and implement enterprise-wide data governance frameworks with a focus on data ...

UCB

Principal Data Governance Architect

Atlanta, GA · On-site

Make your mark for patients We are looking for a Principal Data Governance Architect to join our Data Governance Team based out of Atlanta, GA (hybrid, 2 days per week onsite) About the role The ...

UCB

Principal Data Governance Architect

Atlanta, GA · Hybrid

Make your mark for patients We are looking for a Principal Data Governance Architect to join our Data Governance Team based out of Atlanta, GA (hybrid, 2 days per week onsite) About the role The ...

Programmers.io

Data Governance Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

JD - · Ensuring high-quality applications are delivered. · Design, implement, and maintain complex software applications using various technologies, languages and frameworks. · Collaborate with ...

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How much do data governance architect jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data governance architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What are some common challenges Data Governance Architects face when implementing data governance frameworks across large organizations?

Data Governance Architects often encounter challenges such as aligning diverse business units on standardized data definitions, navigating existing data silos, and ensuring compliance with evolving data privacy regulations. They must balance the need for strong governance with the flexibility required by business users, which can involve negotiating between IT and non-IT stakeholders. Additionally, driving organizational buy-in and fostering a data-driven culture are key hurdles, as successful frameworks require consistent support and adoption across all levels of the company.

What is a Data Governance Architect?

A Data Governance Architect is a professional responsible for designing and implementing frameworks, policies, and systems to ensure that an organization's data is accurate, secure, and used appropriately. They work with business and IT teams to establish data standards, ownership, and compliance with regulations. Their role includes creating strategies for data quality, metadata management, and data lifecycle, helping organizations maximize the value of their data assets while minimizing risks. Data Governance Architects often play a key role in data privacy, security, and regulatory compliance initiatives.

What are the key skills and qualifications needed to thrive as a Data Governance Architect, and why are they important?

To excel as a Data Governance Architect, you need a solid understanding of data management principles, data governance frameworks, and regulatory compliance, often supported by degrees in computer science or information systems. Familiarity with data catalog tools, metadata management platforms, and certifications such as CDMP (Certified Data Management Professional) are highly valuable. Outstanding communication, strategic thinking, and stakeholder management skills distinguish top performers in this field. These skills ensure that data assets are effectively governed, protected, and leveraged to drive organizational value and meet compliance requirements.
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Data Governance Architect jobs near you
Data Governance Architect

Data Governance Architect

Curate Partners

Cambridge, MA

$69.75 - $89.50/hr

Other

Posted 2 days ago

Job description

Job Summary

We are seeking a Data Governance Architect to design and implement enterprise data governance capabilities across modern pharma data platforms. The ideal candidate has deep experience in pharmaceutical or life sciences data environments, strong knowledge of Databricks Lakehouse and Medallion Architecture, and hands-on experience with Collibra and Unity catalog for metadata management, business glossary, data cataloging, stewardship workflows, lineage, and governance operating models.

This role will define the technical and information architecture required to govern data across R&D, clinical, regulatory, manufacturing, quality, commercial, and enterprise data domains.


*Must be onsite 3 days a week in Cambridge, MA


Key Responsibilities

Design and implement enterprise data governance architecture across pharma data platforms, including Databricks, Collibra, cloud storage, BI, and downstream analytics systems.

Define governance patterns for Databricks Lakehouse, including Bronze, Silver, and Gold layers, data ownership, metadata standards, lineage capture, access control, data quality, retention, and certification.

Partner with data engineering teams to embed governance controls into Medallion Architecture pipelines, including ingestion standards, transformation rules, validation checkpoints, and curated data product governance.

Lead Collibra architecture and configuration for data catalog, business glossary, data domains, assets, policies, stewardship workflows, lineage, and data quality integration.

Define metadata models connecting business terms, data products, datasets, reports, pipelines, data owners, data stewards, and regulatory classifications.

Architect governance solutions using Databricks Unity Catalog, Collibra, cloud IAM, privacy tools, security controls, and data quality frameworks.

Establish architecture standards for sensitive and regulated pharma data, including GxP, HIPAA, GDPR, clinical trial data, patient data, manufacturing quality data, and proprietary R&D data.

Create reference architectures, solution blueprints, implementation patterns, data governance standards, and technical design documents.

Advise on integration between Collibra and Databricks for metadata harvesting, lineage, catalog synchronization, stewardship workflows, and governance policy enforcement.

Support enterprise data product strategy, including data mesh, domain ownership, certified datasets, data marketplaces, and reusable governed data assets.

Collaborate with enterprise architecture, data platform, security, privacy, compliance, quality, and business data domain teams.

Required Qualifications

8+ years of experience in data architecture, data governance architecture, information architecture, data management, or enterprise data platforms.

Experience working in pharma, biotech, life sciences, healthcare, or another regulated industry.

Strong understanding of Databricks Lakehouse Platform, Unity Catalog, Delta Lake, access controls, lineage, workspace patterns, and data platform governance.

Hands-on experience with Medallion Architecture, including Bronze, Silver, and Gold data layers.

Hands-on experience with Collibra, including operating model design, data catalog, glossary, workflows, stewardship, lineage, policies, and asset model configuration.

Strong knowledge of data governance capabilities, including metadata management, lineage, data quality, master/reference data, access management, privacy classification, data lifecycle, and policy management.

Experience designing governance frameworks for regulated data, including GxP, 21 CFR Part 11, HIPAA, GDPR, patient data, clinical data, and quality data.

Ability to translate business, regulatory, compliance, and privacy requirements into scalable technical architecture.

Experience with cloud data platforms, preferably AWS, Azure, or GCP.

Excellent documentation, communication, and stakeholder engagement skills.

Preferred Qualifications

Experience integrating Collibra with Databricks, Unity Catalog, cloud platforms, BI tools, ETL tools, or data quality tools.

Experience with data quality platforms such as Great Expectations, Deequ, Informatica DQ, Collibra DQ, Soda, or Monte Carlo.

Experience with data marketplace, data mesh, domain-driven data ownership, and governed data product models.

Experience with pharma data domains such as clinical trials, genomics, regulatory submissions, pharmacovigilance, manufacturing, quality, supply chain, medical affairs, or commercial analytics.

Knowledge of semantic layers, ontology, master data management, reference data management, and knowledge graphs.

Certifications in Databricks, Collibra, CDMP, cloud architecture, or enterprise architecture are a plus.

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