Specialist Solution Engineer

We are seeking a technically minded, curious communicator who understands data from source to decision, and loves turning it into clear stories. As our Specialist Solution Engineer, you will be the subject matter expert for Tableau and its family of products: Tableau Cloud, Tableau Server, Tableau Next and CRM Analytics.

You will help organisations across Australia and New Zealand become more data-driven by showing how a trusted, governed semantic foundation turns data into decisions, for people and for AI agents. You will partner with Account Executives and Solution Engineers, support deals from first discovery call to storytelling demos and hands-on workshops, while growing your skills across Data 360, Agentforce and the wider Salesforce platform.

Core Responsibilities & Scope

• Win Analytics business with Sales: Partner with Account Executives to understand each customer’s goals, manage several engagements at once across ANZ, and build trusted relationships with business leaders, analysts, data architects and data engineers.
• Lead discovery and demos: Run discovery sessions and workshops, then build prototypes and customised demos that prove business value.
• Showcase AI and design AI-ready architectures: Demo Tableau Agent and natural-language analytics in Tableau Studio, and show how Tableau MCP (Model Context Protocol) connects trusted data to assistants such as Slack, Claude, ChatGPT and Microsoft Copilot.
• Support bids, enable the team and represent Tableau: Contribute technical responses to RFPs, RFIs and RFTs, share knowledge with Solution Engineering and adjacent teams, feed customer insights back to Product, and represent Tableau at customer events and Tableau User Groups.

Minimum Requirements

• Experience: 3+ years in technical pre-sales, consulting, customer success, analytics or data roles, plus a relevant degree (Computer Science, Software Engineering, Information Systems or similar)
• BI and data expertise: Hands-on experience with Tableau, CRM Analytics or similar tools (Power BI, Looker), plus familiarity with data modelling, semantic layers, and how data moves from warehouses, lakes and lakehouses through ETL/ELT pipelines into analytics-ready models.
• AI fluency: Working knowledge of generative AI, including LLMs, prompt design, RAG and AI agents, and how they apply to analytics.
• Communication and sales instinct: You present with confidence, in person and online, to audiences from analysts to executives.

How you stand out

• Experience with other cloud data platforms (Snowflake, Databricks, BigQuery), data prep tools (Informatica or similar), or semantic and metrics layers (Tableau Semantics, Published Data Sources, dbt)
• Experience with Data 360 or Agentforce, or with setting up MCP servers to connect AI assistants to enterprise data
• Salesforce certifications (Tableau Consultant, Tableau Desktop Specialist, CRM Analytics, Administrator), or Salesforce power-user or admin experience
• A track record of building demos or proofs of concept, plus published content or community involvement such as blogs, talks or Tableau User Group activity