At a Glance
- Tasks: Lead the design and delivery of enterprise data architectures using Salesforce Data360.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Fully remote role with potential for exciting projects across Europe.
- Why this job: Shape the future of data architecture and make a real impact in the tech world.
- Qualifications: 3+ years in data architecture with expertise in Salesforce Data Cloud.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Salesforce Data360 / Data Cloud Architect for an initial 6-month contract (Outside IR35) to lead the strategy, design, and technical delivery of enterprise unified data architectures.
In this role, you will serve as the core technical authority on Salesforce Data360, bridging enterprise data infrastructure with real-time operational CRM and AI activation.
You will be responsible for defining identity resolution frameworks, building scalable data pipelines, and establishing the unified data foundation that powers enterprise analytics, cross-cloud workflows, and agentic AI.
Key Responsibilities
- Lead end-to-end technical architecture, solution design, and data governance for enterprise Salesforce Data360 / Data Cloud implementations and extensions.
- Design robust data models, data streams, and zero-copy / federated integration patterns connecting Data360 with Core Salesforce (Sales/Service/Marketing Cloud) and enterprise data warehouses (Snowflake, Big Query, Databricks).
- Establish identity resolution rules, unified data schemas (DLOs/DMOs), calculated insights, and segmentation frameworks to unlock real-time activation across channels.
- Guide data engineering and platform development teams on best practices for ingestion, transformation, data action triggers, and API integrations.
- Partner closely with enterprise architects, data governance councils, and business leads to ground AI models (such as Agentforce) and automate cross-departmental customer workflows.
- What We’re Looking For
- 3+ years of hands-on experience architecting and implementing enterprise data platforms, with deep hands-on specialization in Salesforce Data Cloud / Data360.
- Advanced knowledge of Identity Resolution, Data Streams, Calculated Insights, Data Actions, and dynamic Segmentation/Activation targets.
- Deep proficiency in SQL, REST/SOAP APIs, data modeling, and ETL/ELT pipeline integration architectures.
- Proven experience with Zero-Copy architecture, data federation, and integrating with external data lakes/warehouses (Snowflake, Databricks, GCP, AWS).
- Strong understanding of how Data360 feeds downstream capabilities, including Agentforce, RAG / vector search, and cross-cloud automation.
- Excellent communication skills with the ability to articulate complex data architecture decisions to executive stakeholders and non-technical business leaders.
- Salesforce Data Cloud Consultant certification preferred.
Note
While this UK-based role is fully remote, we are also open to discussing similar Salesforce contract opportunities across Mainland Europe with EU-based candidates.
Salesforce Data360 / Data Cloud Architect in Chelmsford employer: Stott and May
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StudySmarter Expert Advice🤫
We think this is how you could land Salesforce Data360 / Data Cloud Architect in Chelmsford
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We think you need these skills to ace Salesforce Data360 / Data Cloud Architect in Chelmsford
Some tips for your application 🫡
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Stott and May, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Stott and May
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Stott and May.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Stott and May.
✨Prepare a Portfolio of Your Work
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