Senior Master Data Management (MDM) Architect

Lakefusion, Inc.
United States
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Microsoft Azure Data Architecture Data Governance Meta-Data Management Reference Data Cloud Platform System Snowflake AWS Glue Data Management
+3 more
Domain Driven Design Apache Beam Databricks

Job description

We are seeking an experienced Enterprise Master Data Management Architect to lead the design, implementation, and evolution of multi-domain MDM programs for our clients. This is a strategic, but also hands-on role responsible for building a future-state master data architecture that spans Customer, Product, Supplier, Location, and Reference data domains across enterprise architectures.

You will partner with business leaders, data governance, integration, and analytics teams to deliver a unified, trusted, and real-time view of master data that powers operational efficiency, customer 360 views, advanced analytics, and AI initiatives based on Databricks and Snowflake platforms.

What you’ll do Pre-sales support: Drive and develop proof-of-concepts with support from the LakeFusion client services teams Stakeholder collaboration: Work with business and technical teams to gather and define requirements and ensure MDM solutions meet business needs. Architectural design: Design and implement scalable multi-domain data models, match/merge rules, survivorship logic, hierarchies, and relationship management. Own the end-to-end MDM architecture and roadmap across multiple data domains for client implementations Expertise & Coaching: Provide expertise and guidance to client partners to define data quality rules, design MDM data models, stewardship workflows, and governance policies. Help clients establish best practices for metadata management, lineage, and golden record creation. May present architecture decisions and roadmaps to senior leadership and governance councils

Technical leadership: Guide and mentor technical teams during the implementation lifecycle. Collaborate with cloud data platform teams (Azure, AWS, or GCP) for MDM deployment and operations. Mentor junior architects and developers; act as the subject-matter expert for all MDM-related initiatives

Requirements

10+ years of progressive experience in data architecture and management 5+ years of hands-on MDM experience with at least one industry-leading platform Proven track record delivering multi-domain MDM solutions (Customer + Product + at least one additional domain) Deep expertise in data modeling (conceptual, logical, physical), match/merge, data quality, and governance frameworks Experience with cloud platforms (Azure ADLS/ADF/Synapse, AWS Glue/S3, GCP Dataflow) Excellent communication, analytical, and organizational skills. Solid understanding of data privacy regulations (GDPR, CCPA, HIPAA) and consent management Nice-to-have Experience in data governance and MDM, preferably for a leading consulting organization Relevant certifications: CDMP, Informatica MDM, Reltio, AWS/Azure/GCP, Databricks, DAMA are desired Experience with Data Mesh principles and domain-driven design

About the company

LakeFusion platform is an AI-powered Master Data Management (MDM) platform built for modern lakehouse environments. The platform helps enterprises unify data from multiple systems into a single, trusted source of truth using intelligent matching, entity resolution, and automated data quality rules. LakeFusion integrates with lakehouse architectures such as Databricks to deliver scalable, governed master data across business domains.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

55 sec

Validating data processing architectures via containerized events

Modood Alvi · WWC 2025

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:38 min

Architecting a unified data and machine learning workbench

Kapil Gupta Kapil Gupta · WWC 2025

Videos

See all

Related articles

See all