Lead Specialist Solution Engineer - Tableau in London

This is an opportunity to work with Salesforce’s Tableau Solution Engineering team.

The team is made up of data and analytics professionals who work with customers to solve their business problems with Tableau’s world‑leading analytics platform.

We are looking for a Lead Solution Engineer to join our team of data rockstars.

This individual will play a pivotal role in supporting our customers’ and our sales teams’ success by providing technical expertise in the field of data, business intelligence, predictive analytics, and artificial intelligence (AI).

Responsibilities

• Demonstrate how Tableau’s platform helps the customer drive value through guided evaluations and building tailored platform/solution demonstrations.
• Engage customers and collaborate with account teams to understand their needs with respect to how data and analytics can help the customer’s business succeed and transform, and how customers can build a data culture.
• Conduct workshops for customers to understand the Tableau platform and drive adoption across multiple groups and stakeholders.
• Act as a trusted advisor to our customers, guiding them on best practices, and informing their data and analytics strategies.
• Develop and sustain expert‑level knowledge of all aspects of the Tableau platform, including data integration, data visualisation, analytics, artificial intelligence, governance, architecture, security, and scalability.
• Lead technical evaluations and responses to RFPs and RFIs.
• Work closely with product management teams to stay updated on our latest developments and provide feedback from the field.
• Create reusable assets that act as a force multiplier for the extended teams.
• Required Qualifications
• 6+ years of hands‑on experience in business intelligence, data integration, analytics, data warehouses/lakes, or related technologies
• Solid data and analytics problem‑solving skills
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non‑technical audiences
• Proven ability to build relationships with key stakeholders and customers
• Preferred Qualifications
• Background in at least one BI platform (Tableau, Power BI, Qlik, etc.)
• Familiarity with predictive analytics, machine learning and use of AI to support those.
• Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon Sage Maker, Google Vertex, etc.; as well as R and/or Python
• Familiarity with security protocols, application integration, embedding and verifying AI generated scripts and code you have created
• Degree or equivalent technical proven experience.

Experience will be evaluated based on the core proficiencies for the role (e. g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme.

We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role.

Applicants are welcome to opt‑in to the interview scheme as part of the application process.

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form.

Equal Opportunity Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment.

Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.

This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.

Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.

The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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