Lead, Specialist Solution Engineer

What is a Solution Engineer?

Also known as a " Pre -Sales Engineer" or "Sales Consultant," the Solution Engineer is responsible for presenting product offerings and architecture in the best light to prospects and customers, to evoke confidence in the company's technology infrastructure, and to remove all technical objections in the sales cycle.

To accomplish this, the Solution Engineer must have a strong desire to leverage their technical and/or sales skills, including the ability to solicit business requirements, develop a technical sales strategy, configure and effectively demonstrate the solutions that address these requirements and provide business value.

Lead, Specialist Solution Engineer

Are you a seasoned analytics expert who loves turning complex data challenges into clear, compelling solutions? As a Lead Solution Engineer, Analytics at Salesforce, you'll go beyond traditional pre-sales: you'll lead the technical strategy on your most strategic opportunities and help customers build a trusted, governed semantic foundation for their analytics.

You'll be a recognized technical authority on Tableau's semantic layer and analytics interoperability, and a trusted advisor to business and technical stakeholders across LATAM.

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Lead Specialist Solution Engineer leads the technical sales cycle for Analytics on complex opportunities, from vision co-creation through storytelling demos to deep-dive workshops, showing customers the "why" and the "what."

You'll run deep discovery on business and data needs, then design and demo semantic models that define metrics, dimensions, and business rules once and make them reusable and governed across the organization. You'll position Tableau Semantics and Tableau Next alongside Tableau Cloud and Server, and show how analytics interoperability and Tableau Knowledge help customers unify their data context across platforms.

You'll partner with Account Executives to recommend solutions with measurable ROI, and share best practices with peers through demos and discovery coaching. Ideal candidates have experience with Tableau, CRM Analytics, the Salesforce core platform, Data 360 / data integration, semantic modeling, and BI in a customer-facing role.

Your Impact

• Build trusted advisor relationships with business and technical stakeholders by:
• Understanding their business challenges and data/analytics strategy
• Identifying the best Tableau solution for their needs
• Supporting them in achieving their business goals
• Help customers become more data-driven by showcasing Tableau and building excitement around the platform
• Lead discovery sessions and workshops with business users to define, build, and implement solution prototypes
• Design and demo semantic models (Tableau Semantics, Published Data Sources) that define metrics and business rules once, with governance, for reuse across the organization
• Build and present customized demos that prove business value, including analytics interoperability across Tableau Cloud, Server, Tableau Next, and CRM Analytics
• Position recent Tableau innovations (Tableau Next, Tableau Semantics, Tableau Knowledge) and explain how they fit with the customer's existing data stack
• Articulate the business value of Tableau to managers and business leaders
• Deliver technical responses on RFPs/RFIs
• Support adjacent teams in positioning Tableau and Salesforce's analytics portfolio
• Handle multiple customer engagements at once across LATAM, prioritizing with the sales team
• Share customer feedback with the product GTM team and contribute to analytics thought leadership across LATAM
• Share best practices with peers through demos and knowledge sharing

What we're looking for

We're seeking a proactive professional with solid presales or technical expertise gained in the software/IT industry or as an end user. Ideally, you bring broad technical knowledge plus specialized expertise in one or more of these areas: data visualization/analytics, BI, semantic modeling, data quality, integration, databases, or analytics infrastructure.

• Experienced: Proven ability to build trust with customers and navigate the sales cycle, with 3+ years in technical pre-sales or consulting and a B.S. in Computer Science, Software Engineering, MIS or equivalent
• Technically strong: Hands-on experience in one or more of the areas above. Python and/or JavaScript is a plus. Experience analyzing data, identifying trends, and building visualizations
• Specialized knowledge: Experience building and delivering PoCs and answering the technical and functional parts of RFIs/RFPs. Familiarity with Tableau, Looker, Power BI, or similar tools. Experience with data modeling, semantic layers, star schema design, and data warehouse concepts
• Passionate: Solid expertise in analytics and data strategy, with the ability to help shape customer vision and turn it into business impact
• Strong communicator: Excellent verbal and written communication, and the ability to present to diverse audiences
• Languages: English and Spanish required. Portuguese is a plus
• Sales-minded: Able to support the sales team with objection handling, business value articulation, and product positioning
• Flexible: Willing to travel and adapt working hours as needed
• Team player: Committed to team goals as well as individual ones

How you differentiate yourself

• Salesforce certifications (Tableau Consultant, CRM Analytics, Data Cloud) are a plus
• Experience with semantic layers or metrics layers (Tableau Semantics, dbt, Snowflake Semantic Views, etc.)
• Experience with generative and predictive AI applied to analytics
• Hands-on experience with modern cloud data platforms (Snowflake, Databricks, BigQuery, etc.)
• ETL tools experience (Informatica, etc.)
• Published thought leadership (blogs, talks, whitepapers) is a plus