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Salesforce

Sr. Technical Architect, Data

Posted 12 Hours Ago
Be an Early Applicant
Dallas, TX
Senior level
Dallas, TX
Senior level
Lead the design and implementation of MDM and data architecture solutions, ensuring data integrity and governance across enterprise systems while collaborating with various stakeholders.
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Job Category

Enterprise Technology & Infrastructure

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Sr. Technical Architect – Data Architecture & Master Data ManagementSummary

The Sr. Technical Architect – Data plays a critical role within Salesforce’s Enterprise Architecture team, leading the design and implementation of enterprise-grade Master Data Management (MDM) solutions and broader data architecture strategies. This position is responsible for architecting scalable solutions across data platforms, integration, analytics, governance, and automation.

The ideal candidate brings deep expertise in data architecture, MDM, and Salesforce ecosystem knowledge, combined with strong soft skills, stakeholder engagement, and technical writing ability. You will collaborate with cross-functional teams to shape the future of our data ecosystem and enable data excellence at scale.

If you’re an experienced and hands-on architect passionate about building unified, intelligent enterprise data environments—we’d love to hear from you.

Key Responsibilities

  • Data Architecture: Design and maintain comprehensive enterprise data architecture aligned to business goals and North Star architecture.

  • MDM Enablement: Lead MDM architecture for key domains (e.g., customer, product, vendor, employee, finance, legal entities, reference data).

  • Integration & Processing: Architect enterprise-scale data integration and movement solutions (ETL/ELT/pipelines), ensuring seamless, real-time data flow across systems.

  • Data Modeling: Develop and maintain conceptual, logical, and physical data models; define metadata, lineage, and dictionaries.

  • Analytics Support: Collaborate with analytics and reporting teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives.

  • Data Governance: Implement governance frameworks to uphold data quality, compliance, privacy, and security standards.

  • Strategic Planning: Develop and execute data strategies in alignment with enterprise business architecture and capabilities.

  • Stakeholder Engagement: Work cross-functionally across IT, Finance, HR, Legal, Risk, and other functions to deliver aligned and trusted data solutions.

  • Documentation: Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelines.
     

Required Skills & Experience

  • 10+ years in data architecture, with at least 8+ years in MDM solution design and delivery.

  • Deep knowledge of MDM concepts: data domains, survivorship, matching/merging, golden record creation, stewardship, and hierarchy management.

  • Experience with tools such as Informatica MDM, Salesforce Data Cloud, or similar enterprise MDM platforms.

  • Proven expertise in ETL/ELT and data integration tools (e.g., MuleSoft, IICS, Kafka, Airflow, Spark, dbt, Iceberg, Trino, AWS MSK).

  • Strong knowledge of enterprise data warehouse and data hub concepts.

  • Expertise in data modeling using tools like ERWin, and strong understanding of metadata and lineage.

  • Strong background in Salesforce Products and functional domains such as IT, Finance, HR, Legal, Security, and Risk Management.

  • Experience in executing data strategies, assessments, and proof-of-concepts.

  • Familiarity with data governance frameworks and practices.

  • Excellent communication, stakeholder management, and presentation skills.

  • Strong technical writing and documentation ability.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).

  • Demonstrated experience as a Senior Data Architect, MDM Architect, or equivalent.

  • Proven ability to work cross-functionally and influence senior stakeholders across business and IT.
     

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Top Skills

Airflow
Aws Msk
Dbt
Elt
Erwin
ETL
Iceberg
Iics
Informatica Mdm
Kafka
Mulesoft
Salesforce Data Cloud
Spark
Trino

Salesforce Vancouver, British Columbia, CAN Office

333 Seymour St #700, Vancouver, BC, Canada, V6B 5A7

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