National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Salesforce Health Cloud Expert

City of London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Salesforce Health Cloud Expert

Head of Data Engineering & Analytics

Data engineer (Salesforce & Informatica experience)

Data engineer (Salesforce & Informatica experience)

Data engineer (Salesforce & Informatica experience)

Data engineer (Salesforce & Informatica experience)

Job Title: Salesforce Health Cloud Expert

Salary: £75,000 - £85,000 + Benefits and Bonus

Location: London, Hybrid, 2 days onsite

Are you looking for an exciting opportunity as Salesforce Technical Architect?

Join us as a Salesforce Health Cloud Expert!

Our favourite client is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.

Be part of an exciting team where you will be challenged every day.
Work closely with the range of teams within the business to bring products to life.
Work with customers and identify opportunities to support their strategy and improve their processes across functions.

The Role

As a Salesforce Health Cloud Expert, you will help the customer identify and drive the organization's needs for Salesforce foundations. In this role you will define the business or technology architecture and plan how large projects will be delivered. You will be responsible for overseeing the solution design and implementation. In this role you will contribute to program and platform centre of excellence vision while advising and articulating program/project strategies on enabling technologies leveraging the Salesforce Platform.

Key responsibilities:

Identify and drive the organization's needs for Salesforce foundations (Health Cloud).
Take a creative, critical-thinking approach to CRM solution design, creating outside-the -box recommendations to design well-thought-out Salesforce solutions that balance business needs and end-user experience.
Lead cross-team system design discussions, offering alternate choices, trade-offs, and impact analysis with a focus on long-term solutions.
Provide guidance on application and integration development best practices, Enterprise Architecture standards, and functional/technical solution architecture, including environment management, testing, and Salesforce Platform.
Drive the adoption of best engineering development practices across enterprise products and promote the creation of application and technical design documents that align with Salesforce best practices and seamless integrations.
Provide thought leadership for Salesforce best practices and design patterns, and proactively find opportunities for improvement across the platform.
Stay ahead of Salesforce and other ecosystem technologies and how their features map to business use cases; promote a culture of knowledge.

Your Profile

Key skills/knowledge/experience

Experience in technical strategy and owning projects from end-to-end.
Expertise with data management: structured and unstructured DBs, SQL and RDBMS technologies, SOA design principles.
Experience in understanding large code bases, including API design techniques.
Knowledge in UI/UX, which can be reflected in your work.
Extensive experience and proficiency in Salesforce platform, including knowledge of Health Cloud, Lightning Platform, and other relevant products.
Development Skills: Proficiency in Apex, Visualforce, Lightning Components, and other Salesforce-specific technologies for development and solution building.
Integration Expertise: Experience designing and implementing integrations with third-party systems, utilizing APIs, middleware, and other integration tools.
Data Management: Strong knowledge of data architecture, data modelling, and data migration strategies, ensuring data quality and integrity.
Security and Compliance: In-depth understanding of Salesforce security best practices, authentication mechanisms, and compliance with industry regulations.
Performance Optimization: Skill in identifying and resolving performance bottlenecks, optimizing system responsiveness, and enhancing user experience.
Technical Documentation: Ability to create comprehensive technical documentation, including solution designs, architectural diagrams, and configuration details.
Problem-Solving: Strong analytical and problem-solving abilities to address complex technical challenges and provide innovative solutions.
Adaptability: Willingness to stay current with the latest Salesforce releases, features, and industry trends, and adapt strategies accordingly.
Business Acumen: Understanding of business processes and the ability to translate business requirements into technical solutions that drive value.
Strategic Thinking: Capability to align technical solutions with long-term business goals and develop a cohesive Salesforce architecture roadmap.
Mentorship and Training: Advise and mentor diverse teams and product groups on resources in technical and functional delivery aspects at a programme level, using influence and adaptive communication strategies
Performance Optimization: Skill in identifying and resolving performance bottlenecks, optimizing system responsiveness, and enhancing user experience.

Good to have:

Good knowledge on latest trends in technology such as AI and Machine Learning.

In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.