Technical Architect (Migration exp mandate)

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Customer Success

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Technical Architect will be an execution-focused leader, driving the full data migration lifecycle—from discovery and mapping to high-volume deployment—within a complex ecosystem of global clients and partners. As a foundational hire for our Strategic Migration CoE, this role is responsible for architecting end-to-end data strategies, ensuring the integrity of enterprise data as it moves between Salesforce orgs and legacy to Salesforce Platforms.

You will act as the primary technical authority on data and metadata movement, combining deep Salesforce platform expertise with advanced ETL methodologies. You will need to understand various different clouds, their data model and procedures functionally and make sure the data and metadata are compatible to target systems. You will work closely with stakeholders to translate complex business requirements into scalable migration patterns, ensuring that the target architecture is optimized for performance and long-term data health.

Responsibilities:

• Serve as the Technical Lead for large-scale data migration workstreams, overseeing the transition of complex datasets into Salesforce (including Core, Industry Clouds, and Data Cloud).

• Architect and design scalable, secure migration frameworks that handle high-volume data (LDV) while maintaining compliance with security standards and platform governor limits.

• Define and oversee end-to-end data lineage, including data profiling, cleansing logic, transformation mapping, and reconciliation strategies.

• Lead technical workshops and steering committees, demonstrating leadership in cutover planning, rollback strategies, and data validation testing.

• Expertise in Data Modeling and Technical Design, including the use of Bulk API 2.0, PK Chunking, Parallel Processing, and efficient Apex design patterns for post-load processing.

• Serve as a Trusted Advisor to Enterprise Architects at client, shaping the long-term data strategy, archival policies, and master data management (MDM) roadmaps.

• Manage customer expectations by negotiating solutions for complex data conflicts, deduplication challenges, and third-party integration hurdles.

• Establish "Best-in-Class" standards for the migration practice, promoting standardized toolsets and reusable transformation templates to accelerate project velocity.

• Execute off-platform data moves, demonstrating the ability to architect migrations between non-Salesforce systems when required by the broader enterprise landscape.

• Identify and mitigate technical risks proactively, such as data skew, parent-child locking issues, and performance bottlenecks during high-volume loads.

Qualifications:

• 10+ years of experience in developing enterprise-level Salesforce based technology and data solutions.

• 3+ years of experience in client-facing leadership roles, specifically leading data-heavy digital transformations and systems integration projects.

• Proven expertise in executing complex data migrations, having successfully led multiple end-to-end migration projects from legacy systems to Salesforce or vice-versa.

• Deep understanding of high-volume data (LDV) strategies, including indexing, skinny tables, and efficient query design to support massive datasets.

• Exceptional Communication Skills, with the ability to articulate complex technical data concepts to both executive leadership and technical developers.

• Core Technical "Must Haves":

  • Data Architecture & Management: Master-level understanding of relational databases and Salesforce object relationships.

  • Apex/LWC: Proficiency in writing performant triggers/ batch classes/ procedures for data transformation.

  • Integration Architecture: Deep knowledge of REST/SOAP APIs and middleware patterns.

  • Platform Security: Expertise in Shield, encryption at rest, and field-level security during migration.

  • Identity & Access Management: Understanding of user migration and permission set mapping.

• Preferred Skills ("Good to Have"):

  • Hands-on experience with ETL tools (e.g., Informatica, MuleSoft, Talend, or Copado Data Deploy).

  • Experience with Salesforce Data Cloud (ingestion, harmonization, and unification).

  • Industry-specific experience in CPQ (product catalog/ transactional data model) or Marketing Cloud (subscriber and journey data).

  • Knowledge of Salesforce Industries (SFI) or OmniStudio data tools (DataRaptors/Integration Procedures).

• Salesforce Certifications Preferred: Application Architect and System Architect .

• Salesforce Certified Data Architect (Required)

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.