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About the Role

The Distinguished Technical Architect, Data & AI is a senior technical leadership role within Salesforce's EMEA Go-to-Market organization, operating at the intersection of Data, AI, and enterprise transformation to accelerate sales and value realization for strategic enterprise customers.

Responsibilities

Be a compelling, credible voice for Data and AI at Salesforce events, industry conferences, analyst briefings, and customer roundtables across EMEA.
Present on stage and command a room.
Publish technical thought leadership (blogs, whitepapers, reference architectures) that shape how the market thinks about enterprise AI and data strategy.
Represent Salesforce's architectural point of view in the external ecosystem.
Build and maintain a personal brand as a trusted authority on the intersection of Data, AI, and enterprise architecture.
Operate as a senior technical authority in Salesforce's most strategic and complex EMEA deal cycles.
Engage at CDAO, CTO, and CIO level to shape enterprise data and AI strategy.
Lead architectural deep-dives, whiteboard sessions, and design sprints.
Collaborate with AEs and SEs to build hands-on prototypes and proof-of-value demonstrations.
Own technical architecture decisions at customer engagements: data modelling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.
Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A).
Navigate ambiguous, high-stakes technical conversations with authority.
Support early adoption engagements post-sale by tuning agents and guiding customers toward self-sufficient enablement.
Serve as a long-term trusted advisor to strategic customers.
Package and codify architectural patterns, reference designs, proof-of-concept frameworks, and technical playbooks.
Be an internal multiplier — elevating the architectural quality of the broader team through coaching, IP contribution, and program leadership.
Develop scalable enablement assets — including demo environments, architectural workshop templates, and POV accelerators.
Partner with Product and Engineering to translate field-driven architectural insights into roadmap input and product improvements.
Contribute to the global Architect community, sharing reusable IP and best practices.

Requirements

15+ years of progressive experience in enterprise architecture, technical consulting, or technical pre-sales in Data and AI domains.
Deep, hands-on technical expertise across enterprise data platforms, AI/ML, Generative AI, and agentic architectures — including Salesforce Agentforce, Data360, and the Salesforce platform.
Demonstrated experience engaging C-level executives (CDO, CTO, CIO, CDAO) as a trusted technical advisor.
Track record of presenting at major industry events, publishing technical thought leadership, or building a recognized personal brand in the Data and AI ecosystem.
Proven ability to design and deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.
Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.
Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.
Hands-on proficiency in programming (e.g., Python, JavaScript, SQL) and data frameworks.
Understanding of agent interoperability standards (MCP, A2A) and the broader external agent ecosystem.
Experience operating in complex, matrixed enterprise environments across multiple EMEA markets.
Exceptional communicator and storyteller.
Fluent English required; additional EMEA language skills are a strong plus.
Degree or equivalent relevant experience required.

Skills

Data Architecture & Platforms
Cloud data platforms
SQL
Ingestion pipelines (batch, streaming, CDC)
ETL/ELT
Data modelling
Semantic layers
Integration patterns
TCO trade-offs
Informatica (IDMC)
MDM
Snowflake
Databricks
BigQuery
Redshift
AI & Agentic Architecture
Foundational ML concepts
Data preparation
Python
Applied AI
Generative AI
Prompt engineering
Retrieval-augmented generation (RAG)
Vector stores
Agentic architectures
Databricks
Snowflake
SageMaker
Vertex
Agent lifecycle management
Observability
Governance frameworks
Agentforce & Salesforce Platform
Data and AI activation within Salesforce
Agentforce
Data360
Sales Cloud
Service Cloud
Industry Clouds
Agentforce Studio
Agent Builder
Conversational agents
Background agents
External channels
Voice
Hyperscaler APIs
Prompt design
Testing
Monitoring
Iteration
Agent lifecycle best practices
External agents (Copilot, Gemini)
Open standards (MCP, A2A)
Analytics & BI
Tableau
PowerBI
Looker
Integration Patterns
MuleSoft APIs
Hyperscaler SDKs
Cross-platform integrations
Enterprise governance and compliance frameworks

Location

EMEA

Work Type

Field-facing

Experience Level

Senior
15+ years

Education Level

Degree or equivalent relevant experience required

Benefits

Wellbeing reimbursement
Generous parental leave
Adoption assistance
Fertility benefits

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life.
The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era?
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
We believe in equality for all.
We believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
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.
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.
Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions.