Senior MDM Data Architect – Remote/Hybrid

TEKsystems; San Diego (CA); Hybrid; USD 110,000 - 138,000; Full time

Job summary

TEKsystems seeks an experienced MDM Data Architect to support a large-scale enterprise data transformation in the financial services sector. You will design and evolve the data ecosystem with a focus on MDM, data modeling, governance, and data quality.

You will partner with business stakeholders, data engineers, analytics teams, and architecture leadership to deliver scalable solutions for analytics, AI, and operations.

Qualifications

• 8+ years of experience in Data Management, Data Engineering, Analytics, or related fields.
• 3+ years in a Data Architect or Enterprise Data Architecture role.
• Strong expertise in data modeling: conceptual, logical, physical, dimensional, semantic.
• Experience with Master Data Management (MDM) programs.
• Strong understanding of data governance, data quality frameworks, metadata management, and data lineage.
• Advanced SQL experience.
• Experience designing enterprise-scale cloud data platforms.
• Ability to translate business requirements into data architecture solutions.

Responsibilities

• Define and maintain enterprise data architecture standards, principles, and roadmaps.
• Align data architecture with business objectives and transformation initiatives.
• Evaluate emerging technologies and improve the data ecosystem.
• Design scalable, reusable data solutions across environments.
• Create data models: conceptual, logical, physical, dimensional, semantic.
• Partner with stakeholders to establish stewardship and ownership models.

Skills

Data modeling

Data governance

SQL

Enterprise data arch

Stakeholder collab

Tools

Snowflake

Databricks

Erwin

Informatica

Semarchy

Job description

TEKsystems seeks an experienced MDM Data Architect to support a large-scale enterprise data transformation in the financial services sector. You will design and evolve the data ecosystem with a focus on MDM, data modeling, governance, and data quality.

You will partner with business stakeholders, data engineers, analytics teams, and architecture leadership to deliver scalable solutions for analytics, AI, and operations.