Salesforce Health Cloud Expert

City of London
5 days ago
Create job alert

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

Related Jobs

View all jobs

Head of Data Engineering & Analytics

Data Engineer ( Python )

Senior Data Engineer

Data Engineer

Senior Data Analyst

Data Analyst, AFRS

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.