Senior Technical Consultant Informatica, MDM

Salesforce•Atlanta, GA

2d•$117,200 - $176,700

About The Position

Salesforce is seeking a technically strong, hands-on Informatica MDM Senior Consultant to deliver enterprise Master Data Management solutions across a portfolio of customers. Working within defined solution architectures, the consultant configures, develops, and deploys MDM capabilities on the Informatica IDMC platform, translating business requirements into production-ready solutions. This is a delivery-focused role requiring active, day-to-day platform work, including configuration, development, troubleshooting, and customer-facing delivery. The position supports domains such as Customer, Product, and Supplier, and may intersect with data catalog, lineage, and data quality workstreams. Travel to client sites averages 10%, but may vary based on the engagement. Applicants must be authorized to work full-time in the United States; visa sponsorship is not available. Salesforce is an AI CRM company focused on customer success, innovation, and its core values. The role is part of Customer Success and involves collaborating with architects, project managers, and customer stakeholders to deliver solutions and communicate implementation progress and risks. The typical annual base salary range is $117,200–$176,700. For California and New York, and select metropolitan areas of Boston, Chicago, Seattle, and Washington, DC, the range is $141,200–$194,200. Compensation is base salary only and excludes applicable bonus, sales incentives, equity, and benefits. Salesforce lists benefits including time-off programs, medical, dental and vision coverage, mental health support, paid parental leave, life and disability insurance, a 401(k), and an employee stock purchasing program.

Requirements

At least 5–6 years of hands-on technical experience with Informatica MDM and data integration products.
At least 3 years of experience working directly on the Informatica IDMC platform.
Delivery experience across at least 2–3 full-lifecycle MDM implementations, from requirements gathering through production go-live.
Hands-on experience with Informatica MDM SaaS, such as C360, R360, or multidomain MDM.
Bachelor's degree in Computer Science, Information Technology, or a related technical discipline.
Currently authorized to work in the United States on a full-time basis; visa sponsorship is unavailable.
Current hands-on platform experience, including configuration, development, troubleshooting, and customer-facing delivery; advisory-only or project-management-only experience is not a fit.

Nice To Haves

Exposure to data governance concepts, tools, and frameworks, including CDGC, metadata management, and data lineage.
Cloud ecosystem experience, such as AWS or Azure.
On-premises-to-cloud migration design experience.
Knowledge of data governance methodologies.
Experience leveraging AI to accelerate project execution.
Solution architecture experience.

Responsibilities

Configure, develop, and deploy Informatica MDM SaaS solutions within defined architectural frameworks for business domains including Customer, Product, and Supplier.
Implement Informatica MDM SaaS products such as Customer 360 and Reference 360, including ingestion, match/merge, survivorship, and hierarchy management.
Translate functional and technical requirements into configurations, data mappings, and workflow designs with minimal guidance.
Support legacy-to-cloud migrations by executing migration tasks, validating data integrity, and troubleshooting technical issues.
Apply data quality rules and governance standards using Cloud Data Quality, contributing to lineage, profiling, and metadata enrichment workstreams.
Build and configure API integrations, event-driven pipelines, and batch ETL processes connecting MDM to upstream and downstream systems.
Develop and tune match/merge rules, survivorship logic, and custom task workflows for business validation and stewardship operations.
Collaborate with architects, project managers, and customer stakeholders; communicate technical progress, identify risks, and propose solutions to implementation challenges.
Create technical documentation, including design specifications, configuration guides, and handover materials.
Use AI and generative AI tools to accelerate configuration, code generation, and documentation.
Travel to client sites as required, averaging 10% depending on the client engagement.