Data Senior Technical Architect

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.

The Data 360 Senior Technical Architect is a recognized expert and demonstrated thought leader in the technical and functional application of Data 360 (f.k.a. Data Cloud) for enterprise customer engagements. This role significantly influences the successful architecture and delivery of complex Data 360 projects and drives internal knowledge scaling.

This senior-level position sits within CSG Professional Services, on the Data Excellence team. Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise customers as a technical advisor, and the other half is spent on enabling CSG employees on Data 360 by providing technical expertise; documenting reference architecture;

building reusable tools, assets, and patterns; assisting with enablement sessions; and providing from-the-field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements.

• Serve as the go-to subject matter expert on Salesforce Data 360 for internal teams and enterprise customers, providing deep insight into its capabilities, technical architecture, potential applications, and crucial limitations. Advise definitively on optimal use cases, implementation patterns, and architectural options for specific use cases.
• Act as a senior escalation point for critical or complex Data 360 project challenges, providing expert diagnosis, recommending strategic and technical solutions, and guiding teams toward successful resolution.
• Partner with customers and account teams to assess business challenges, identify high-impact use cases, define solution scope, develop detailed technical designs, and articulate the business value of proposed solutions to foster successful adoption and identify future opportunities.
• Lead and contribute to mentorship and enablement programs, developing and delivering technical content, documenting reference architectures, building reusable assets and patterns, and running internal training sessions to scale Data 360 knowledge within CSG.
• Maintain a high degree of expertise on the rapidly evolving product roadmap and the broader data platform landscape through continuous self-directed learning.
• Provide critical Voice of the Customer feedback to Product and Engineering organizations based on field experience, directly contributing to product enhancements and future features.
• Actively partner with GTM counterparts during pre-sales activities by providing expert technical validation, shaping scope, and contributing to the development of future Services offerings.
• Manage parallel engagements across multiple (typically 2-3) strategic clients simultaneously, meeting a utilization target of 50%.

• Practical, hands-on, real-life Data 360 experience guiding customers on the successful use of the platform.
• Salesforce Data 360 Consultant certification is required.
• Strong understanding of data management concepts for structured and unstructured data within the Salesforce ecosystem (including Salesforce CRM and Data 360) and external systems, including data integration, transformation (ETL/ELT), and data governance considerations.
• Customer Data Platform (CDP) and data warehouse experience preferred, e.g. Snowflake, Databricks, Redshift, Big Query, SQL Server, etc.
• Demonstrated ability to influence a group audience, facilitate solutioning and lead discussions such as implementation methodology, architectural roadmaps, enterprise transformation strategy, and executive-level requirement gathering sessions.
• Experience with AI-related data integration technologies and concepts, including RAG, vector…