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Mdm Data Architect Jobs (NOW HIRING)

Vertiv Co

Principal Data Architect

Westerville, OH · On-site

Principal Data Architect Job Summary Vertiv is building a modern, intelligent data ecosystem that ... Strong understanding of MDM, Data Quality, metadata, lineage, data governance and data management ...

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA

$63 - $81.25/hr

... data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data ... architects as required to validate current standards o Applying appropriate filters to analysis ...

Navtech, Inc.

IBM MDM Developer

MDM Data is a collection containing a large volume of data. * Provide a standard common business ... architecture. Experience Level: Mid, above 10 years Qualifications: * Knowledge and hands-on ...

Arka Infotech Inc

MDM Resource

Milwaukee, WI · On-site

The consultant will provides Subject matter expertise with MDM/Enterprise Data Architect for a large global organization. This person will be working directly with the Client Master Data management ...

Jobsbridge

Data Architect

Waukegan, IL

$60.50 - $78/hr

... MDM) o Analyst Excellent written and verbal communication skills PLUSSES: Experience working in Biopharmaceutical industry (regulatory affairs) Experience with Data Warehouse and Data Mart Design ...

Vertiv

Principal Data Architect

Westerville, OH · On-site

Strong understanding of MDM, Data Quality, metadata, lineage, data governance and data management ... Background in solution architecture or enterprise architecture. * Certifications in Snowflake ...

IO Associates

Master Data Architect

San Francisco, CA

$75 - $96.50/hr

Architect end-to-end master data management (MDM) solutions, covering hub patterns, survivorship, hierarchy management, and golden record creation. * Design enterprise reference data frameworks ...

Novocure

Data Architect

Wayne, PA · On-site

$57.75 - $74.25/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to ... Deep understanding of data modeling, data governance, MDM, and operational data stores * Experience ...

Manatt Phelps & Phillips LLP

Data Architect

New York, NY · On-site

$167K - $185K/yr

The Data Architect will partner closely with senior leadership, technology teams, and business ... Strong understanding of data governance practices, including MDM, metadata management, lineage, and ...

Novocure

Data Architect

Baltimore, MD · On-site

$63.25 - $81.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to ... Deep understanding of data modeling, data governance, MDM, and operational data stores * Experience ...

Novocure Inc

Data Architect

Portsmouth, NH · On-site

$65 - $83.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to ... Deep understanding of data modeling, data governance, MDM, and operational data stores * Experience ...

Manatt Phelps & Phillips LLP

Data Architect

Washington, DC · On-site

$167K - $185K/yr

The Data Architect will partner closely with senior leadership, technology teams, and business ... Strong understanding of data governance practices, including MDM, metadata management, lineage, and ...

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Mdm Data Architect information

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$10

$69

$94

How much do mdm data architect jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for mdm data 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.

Is MDM an ETL tool?

Master Data Management (MDM) is a discipline focused on creating a single, consistent view of core business data, and it often involves data integration processes. While MDM platforms may include ETL (Extract, Transform, Load) components to move and cleanse data, MDM itself is not solely an ETL tool but a broader data management strategy that may utilize ETL tools as part of its implementation. Data architects working with MDM need to understand both data integration techniques and data governance principles.

What is the difference between Mdm Data Architect vs Data Warehouse Architect?

AspectMdm Data ArchitectData Warehouse Architect
Required CredentialsBachelor's in IT, Data Management certifications (e.g., CDMP)Bachelor's in Computer Science, Data Modeling certifications
Work EnvironmentEnterprise data management teams, focus on master dataData warehousing teams, focus on data storage and retrieval
Employer & Industry UsageUsed in industries with complex master data needs like finance, healthcareCommon in retail, e-commerce, and large enterprises needing analytics

While both roles involve data management, an Mdm Data Architect specializes in managing and maintaining master data across systems, ensuring data consistency. A Data Warehouse Architect focuses on designing and building data storage solutions for analytics. Both roles require strong data modeling skills but serve different strategic purposes within organizations.

What does an MDM architect do?

An MDM (Master Data Management) architect designs and implements data management strategies to ensure consistent, accurate, and reliable master data across an organization. They analyze business requirements, develop data models, select appropriate tools, and oversee the integration of data systems, often using platforms like Informatica or IBM. Strong knowledge of data governance, data quality, and architecture principles is essential for this role.

What is an MDM Data Architect?

An MDM (Master Data Management) Data Architect is a professional responsible for designing, implementing, and managing enterprise data solutions that ensure the consistency, accuracy, and reliability of key business data across an organization. They develop architectural frameworks and strategies for integrating, governing, and maintaining master data, such as customer, product, or supplier information. MDM Data Architects collaborate with business and IT teams to define data standards, data models, and best practices to support data quality and compliance. Their goal is to create a single, trusted view of critical data assets, enabling better business decision-making.

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

To thrive as an MDM Data Architect, you need expertise in data modeling, master data management principles, and a strong background in database technologies, often supported by a degree in computer science or a related field. Familiarity with MDM platforms (such as Informatica, IBM InfoSphere, or SAP MDG), data integration tools, and relevant certifications like CDMP is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills ensure the design and implementation of robust data architectures that enable consistent, accurate, and accessible master data across the organization.

How much does a data architect get paid?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

How does a MDM Data Architect typically collaborate with business stakeholders and IT teams during a Master Data Management implementation?

A MDM Data Architect plays a crucial role in bridging the gap between business stakeholders and IT teams during Master Data Management projects. They work closely with business leaders to understand data requirements, ensure alignment with organizational goals, and translate these needs into technical specifications. At the same time, they coordinate with IT teams to design and implement scalable data models, data integration processes, and governance frameworks. Effective communication and collaboration are key, as the architect must balance business priorities with technical feasibility throughout the project lifecycle.

What are the 4 types of MDM?

In the context of a Master Data Management (MDM) architect role, the four main types of MDM are: Consolidation, which integrates data from multiple sources; Registry, which maintains a central index of data without creating a single source; Coexistence, which manages multiple versions of data across systems; and Centralized, which creates a single authoritative source of master data. Understanding these types helps MDM data architects design effective data governance and integration strategies.
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Mdm Data Architect jobs near you
Principal Data Architect

Principal Data Architect

Vertiv Co

Westerville, OH • On-site

Other

Posted 8 hours ago

Vertiv rating

6.9

Company rating: 6.9 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

305th of 418 rated machine equipment manufacturers

Job description

Job Description: Principal Data Architect

Job Summary

Vertiv is building a modern, intelligent data ecosystem that powers worldclass operations, customer experiences, and AIdriven decision-making. As we accelerate our digital and AI transformation, highquality, governed, and accessible data is at the center of how we operate.

We are seeking a Principal Data Architect for our Enterprise Data group. This role is a strategic, hands-on technical leader responsible for designing and governing the enterprise data architecture that powers Vertiv's Data Platform for Analytics, AI, Domain Data Products, and Data Management capabilities. This role anchors the adoption of Snowflake Data & AI platform capabilities, ensures alignment with business domain needs (e.g., Order-to-Cash, Finance, Supply Chain), and establishes the architectural foundation for data quality, data products, metadata, and AI-ready capabilities.

The Principal Data Architect partners closely with Engineering, Product Management, Source System teams and business leaders to define scalable patterns, reusable components, and data models that accelerate adoption of trustworthy, governed, high-quality data in our Enterprise Data Lake.

This role is ideal for a solid technical leader who thrives at the intersection of business & data architecture, and hands-on technologist - who can demonstrate quick workable prototypes with hands-on approach to overall Data Architecture patterns.

About the Team

The Enterprise Data team is responsible for building Vertiv's foundational data ecosystem that enables the company to scale AI, analytics, and operational intelligence. Our mission is to ensure that:

  1. Data is wellmanaged and structured through automated controls and consistent data practices.
  2. Data is easily available, discoverable and usable through well-designed data products, discoverability, metadata, and semantic consistency.

Responsibilities:

Enterprise Data Architecture

  • Define and maintain Vertiv's enterprise data architecture framework, including conceptual, logical, and physical models across domains. 
  • Lead end-to-end architectural design for our Enterprise Data Lake (powered by Snowflake), DQ tooling, and stable Data pipelines enabling real-time data availability for related use cases. 
  • Establish standards for Data-as-a-Product, including metadata, lineage, ownership, and interoperability. 
  • Translate business use cases into data architecture roadmaps aligning with enterprise priorities (O2C, Finance Transformation, AI use cases).

Data Platform & Engineering Architecture

  • Architect scalable ingestion, transformation, orchestration, and storage/processing layers using Snowflake, Kafka/streaming, and modern ELT patterns.
  • Define reusable patterns for dynamic tables, ingestion zones, and domain data products.
  • Provide architectural direction for engineers building pipelines, APIs, data products, and semantic layers.

Data Quality & Observability

  • Lead design and rollout of data quality measurement frameworks (profiling, rules, cleansing, dimensions, monitoring). 
  • Ensure data models and pipelines embed data reliability and observability from the start.

AI, Analytics, and Advanced Use Cases

  • Architect data foundations to enable Agentic AI, predictive analytics, and generative AI.
  • Define and promote patterns for feature engineering, vector storage, and ML-ready data sets.
  • Work with Data Scientists and AI teams to ensure architecture supports scalable model training, serving, and feedback loops.

Governance, Security & Compliance

  • Partner with Cybersecurity and IT to define access models, data protection, and governance guardrails.
  • Ensure architecture aligns with regulatory, financial reporting, and audit requirements.
  • Drive consistent use of cataloging, lineage, and metadata management tools.

Thought Leadership & Mentorship

  • Serve as a senior technical mentor to data engineers, solution architects, and product teams.
  • Introduce best practices, emerging patterns, and modern architectural approaches.
  • Influence stakeholders across business and technology with strong communication, storytelling, and technical depth

Requirements:

  • 10+ years of experience in data architecture, data engineering, or software engineering roles. 
  • Deep expertise with Snowflake, SQL, Lakehouse/Data Lake architectures, and cloud platforms (AWS preferred). 
  • Proven experience designing conceptual/logical data models, canonical models, and domain data products. 
  • Strong understanding of MDM, Data Quality, metadata, lineage, data governance and data management frameworks. 
  • Hands-on experience with ELT/ETL frameworks, real-time/streaming, orchestration tools, BI and Analytics tools. 
  • Ability to translate business processes (manufacturing related like O2C, Finance, Supply Chain) into scalable data architectures.
  • Preferred
    • Experience enabling AI/ML, vector databases, or agent-based systems. 
    • Prior experience with regulated or global manufacturing environments. 
    • Background in solution architecture or enterprise architecture. 
    • Certifications in Snowflake, cloud, or data management frameworks

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. 

OUR CORE PRINCIPALS:  Safety.  Integrity.  Respect.  Teamwork.  Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

  Customer Focus

  Operational Excellence

  High-Performance Culture

  Innovation

  Financial Strength

OUR BEHAVIORS

  Own It

  Act With Urgency

  Foster a Customer-First Mindset

  Think Big and Execute

  Lead by Example

  Drive Continuous Improvement

  Learn and Seek Out Development

About Vertiv

Vertiv is a $8.0 billion global critical infrastructure and data center technology company.  We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services.  Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.    

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.

#LI-RB1

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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