Specialist Solution Engineer, Data & Analytics

Informatica; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Informatica is seeking a Specialist Solution Engineer for Data & Analytics to act as the Tableau subject‑matter expert across ANZ. You will lead discovery sessions, craft customised demos, and demonstrate how semantic foundations enable data-driven decisions for business users and AI agents.

You will showcase Tableau Semantics, Knowledge, Next and MCP integrations, while collaborating with Account Executives to advance deals and customer value. Strong BI background and AI fluency are essential.

Qualifications

• 3+ years in technical pre-sales, consulting, customer success, analytics or data roles.
• Hands-on experience with Tableau, CRM Analytics or similar tools.
• Familiarity with data modelling and semantic layers.
• Strong communication and sales instincts for conveying business value.
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery) and data pipelines beneficial.

Responsibilities

• Win Analytics business with Sales by partnering with Account Executives and building trusted relationships across ANZ.
• Lead discovery sessions and demos, build prototypes and customised demos that prove business value.
• Showcase AI and design AI-ready architectures, including MCP and AI agents integration.
• Support bids, share knowledge with teams and represent Tableau at events.

Skills

Pre-sales experience

BI & data expertise

AI fluency

Communication & sales instinct

Tableau knowledge

Education

Computer Science / Software Engineering / Information Systems degree

Tools

Tableau

CRM Analytics

Power BI

Job description

Specialist Solution Engineer, Data & Analytics

Are you 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’ll 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.

Partnering with Account Executives and Solution Engineers, you’ll 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.

New to the title? A Solution Engineer (sometimes called a Pre‑Sales Engineer or Sales Consultant) gathers business requirements, shapes the technical sales strategy, and demonstrates solutions that deliver business value, building customer confidence and clearing technical objections along the way. Increasingly, SEs also help customers adopt and get full value from what they’ve bought.

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. Show how customers can define metrics and business rules once and reuse them everywhere, and how Tableau Semantics, Tableau Knowledge and Tableau Next (with Data 360 and Agentforce) fit their data stack.

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. Build generative AI and governed semantics into every customer architecture from the start.

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.

• 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. You understand how MCP servers connect AI assistants to enterprise data and tools.


• Communication and sales instinct: You present with confidence, in person and online, to audiences from analysts to executives. You can explain business value, position products, handle technical objections, and manage multiple sales cycles in parallel.

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


• 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