Principal Technical Architect, Data Cloud Apply remote type Office - Flexible locations United Kingdom - London time type Full time posted on Posted 30+ Days Ago job requisition id JR271375
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. 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.
The Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce's newest innovation - Data Cloud.
This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust.
Role Description The Data Cloud Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries.
You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process.
Our Data Cloud customers are only as successful as the value they derive from the platform.
You will play a key role in ensuring Data Cloud is the right fit, help them prioritize the most valuable Data Cloud use cases, and provide technical architecture best practices to drive product adoption.
You will collaborate with the broader Data Cloud team to develop use cases, demos, sales plays, and technical thought leadership.
You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers.
It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics & BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients.
Key Responsibilities Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions. Drive Innovation & Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact. Connect the "Art of the Possible" - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce Data Cloud & Salesforce CRM. Cross Platform Collaboration - Use your understanding of customers' use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics & BI, CRM and AI) to develop solutions across Salesforce's technology stack. Provide Technical Domain Expertise - Answer in-depth Data Cloud questions related to data governance, security, and other technical capabilities.
Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.
), documentation, enablement materials to help us stay ahead of industry trends and help our customers implement best practices with Data Cloud. Key Requirements Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms. Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization. Understanding & ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360. Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this.
Demonstrable experience leading strategy and digital roadmap projects in a complex business environment. Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products. Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow, etc. Preferred Requirements Implementation or Sales Experience in Salesforce Data Cloud. Hands-on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud or any Industry Clouds. Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science. Hands-on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex.
Solid Understanding of Generative AI. Hands-on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform. Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc. Experience will be evaluated based on alignment to the core competencies for the role (e.g., extracurricular leadership roles, military experience, volunteer work, etc.
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