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D360 Technical Architect

Unlock employer Dubai, United Arab Emirates Posted: 23 Apr 2026

Financial

  • Estimate: $100k - $150k*
  • Zero income tax location

Accessibility

  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

United Arab Emirates - Dubai

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The company is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action, tech meets trust, and innovation is a way of life.

The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of the company's newest innovation - D360. This dedicated team helps the company's customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. It is a dynamic, constantly evolving environment where expertise in design and technology is demonstrated every day to drive innovation.

The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across various 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. You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics & BI, CRM and AI 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 company's D360 & the company's 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 the company's technology stack.
  • Provide Technical Domain Expertise - Answer in-depth D360 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 D360.

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.
  • Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit.
  • Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence, and CRM products.
  • Experience in programming languages such as Javascript, Python, and SQL or the company's App Development with LWCs, Apex, Flow, etc.

Preferred Requirements

  • Implementation or Sales Experience in the company's D360 and Agentforce.
  • Hands-on Experience on the company's CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds.
  • Broad range of experience in large-scale database and data warehousing technology, such as Snowflake or Databricks, as well as ETL processes.
  • Hands-on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex.
  • 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.
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