Big Data Technical Architect - EMEA

Salesforce; London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading cloud software company in London is seeking a Big Data Technical Architect to join their Global Public Sector team. The successful candidate will focus on transforming data into actionable business solutions, leveraging advanced AI technologies. Key qualifications include expertise in data lake technologies and strong customer-facing skills. This role offers a chance to drive innovation and collaboration across multiple sectors.

Benefits

Inclusive recruitment process

Career advancement opportunities

Comprehensive benefits package

Qualifications

• Real-world big data experience required.
• Interest in applying AI to solve customer challenges.
• Experience in data strategy and technical consulting.

Responsibilities

• Support sales teams with compelling value propositions.
• Focus on business outcomes and define customer-driven architectures.
• Collaborate with stakeholders to shape data vision.

Skills

Data lake storage technologies

Data ingestion concepts

Data Mapping and Transformation

Canonical Data Models (CDMs)

API-driven integrations

Fluency in English

Tools

Informatica

Mulesoft

Salesforce Data Cloud

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Sales

Job Details

About Salesforce

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? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Big Data Technical Architect

At Salesforce, we start with what-ifs and end with how-tos.

Salesforce pioneered the concept of software-as-a-service back in 1999. Throughout our history, we have created cloud-based pre-integrated suites of capabilities that streamline the rollout of our technologies to deliver real business results fast. We have been doing this successfully for over 25 years.

Do you have real-world big data experience and wonder what else you could be doing with your career? We are seeking to hire a big data technical architect for our Global Public Sector, Education, and Non-Governmental Organizations Solutions team

Where this role will take you

This role isn't just about data; it's about transforming raw information into powerful business solutions. You'll be at the forefront of innovation, leveraging Salesforce's business intelligence, marketing, and cutting-edge predictive and generative AI to deliver tangible results for customers. You'll be face to face with our customers' chief technology officers, chief data officers, data architects, integration architects and data analysts solving real world big data problems in our global Public Sector, Education, and Non-Governmental Organizations.

You'll be working alongside solution engineers using Salesforce's AI-driven business intelligence to show customers how to ask their data questions. You'll not only define technical architectures but also shape the very vision of data for our clients, creating exciting, real-world business scenarios.

You'll also be using your big data skills to create AI agents that interact with humans in real time chats and AI-generated messaging. These agents seamlessly navigate across disparate data sources to solve the swivel-chair problems of humans working across multiple applications.

If you're passionate about pushing the boundaries of technology and empowering businesses with intelligent solutions, this is the opportunity you've been waiting for.

Job Description:

The big data Technical Architect is a pre-sales customer-facing enterprise data domain advisor applying broad technical skills, with deep industry knowledge and business acumen.

In this role, you will support sales teams in developing compelling Salesforce value propositions that align to our public sector, education, and non-governmental organization customers' big data strategies and ambitions. While this area includes traditional Business Intelligence applications, it expands upon that to include outbound communications (Marketing Cloud), Customer Service, and Artificial Intelligence applications as well.

What are the characteristics that will make you successful in this role?

Inquisitive - You are naturally inquisitive, a constant self-learner and have a high aptitude for gathering information and asking good questions about your customers. You have a keen interest in hands-on experimentation with applying the latest capabilities such as Artificial Intelligence to solve customer challenges.

Collaborative - You work well with other internal and external stakeholders on challenges, you understand their objectives, and you surface capabilities that address their objectives. You learn and draw from other team members' experience when needed, and offer your own experience to others whenever you can.

Trustworthy and Authentic - You listen and respond transparently, building trust and becoming a valued advisor to our internal teams and our customers

Accountable - You focus on journeys and outcomes. You break down transformational journeys into logical and achievable steps, and focus on accomplishing the next step.

Resilient - You respond to setbacks in the moment, and use your experiences to anticipate potential setbacks on the horizon.

You have subject matter experience in categories that may include data strategy, data lake architectures, data ingestion, data transformation, API integration, cloud computing, distributed platforms, mobile platforms, and business intelligence/analytics. With a solid blend of technical and customer-facing skills you use a consultative approach to understand business and technical requirements.

Key Qualifications and Skills

• Data lake storage, which may include technologies such as Databricks, Snowflake, Azure Data Lake, Google Cloud Storage, AWS S3 / AWS Lake formation
• Data ingestion concepts like batch ingestion, real time streaming ingestion, event-drive ingestion, and change data capture ingestion
• Data Mapping and Transformation concepts and hands-on experience using data mapping capabilities that include ETL tools like Informatica or integration technologies such as Mulesoft
• Canonical Data Models (CDMs) - concepts and purposes of CDMs, benefits of industry standard CDMs like FHIR
• Putting data to work by determining the data requirements needed to drive business use cases from a catalog of data
• Making data actionable using API-driven integrations
• Fluency in English

Preferred Qualifications and Skills

• Hands on knowledge and experience working with Salesforce Data Cloud, Data Cloud Connectors, and configuring data merging, mapping, and transformations using Data Cloud tools
• Experience using Informatica for data extraction, transformation and loading (ETL)
• Experience working with Salesforce Marketing Cloud using Data Cloud or Salesforce Customer Data Platform (CDP)
• Experience using Mulesoft as a data migration tool, to create actionable APIs, and emerging knowledge of Mulesoft's Model Context Protocol (MCP) capabilities as a driver for AI agent interaction
• Knowledge and experience with any of the Salesforce Industry Clouds such as Health Cloud, Financial Services Cloud, Education Cloud or Public Sector Solutions
• Knowledge of working with and integrating existing data lake technologies like Databricks, Snowflake, Azure Data Lake, etc and how these technologies can work alongside Data Cloud
• Fluency in English and another European language such as French, Spanish, Italian, or German

What you will be doing

• Team with account executives and solution engineers to advance opportunities through discovery workshops, enablement sessions, and architecture presentations
• Begin with the end business goals in mind, and work backwards to identify the supporting data sources, data aggregations, and calculated insights required to support the business goals
• Define customer-driven architectures by selecting appropriate Salesforce technologies, leveraging product expertise, industry experience, data frameworks, and Salesforce methodologies. Develop and communicate data architecture (vision, capability models/assessments) and technical architecture (current/future state diagrams, roadmaps, design patterns, and reference architectures) to progress sales opportunities
• Work with Solution Engineers to create AI agents that take customers' existing portfolio of data siloes and applications and create Salesforce agents that navigate across traditional data silos to accomplish real business-driven scenarios
• Develop predictive models using Einstein Studio on top of Data Cloud

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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.