Salesforce Data Cloud Specialist, Greater London

TN United Kingdom
Greater London
5 days ago
Create job alert

Social network you want to login/join with:

Salesforce Data Cloud Specialist, Greater London

Client: NTT DATA

Location: Greater London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 592f9d737822

Job Views: 7

Posted: 01.03.2025

Expiry Date: 15.04.2025

Job Description:

The team you'll be working with:

As part of our continuous growth, we are seeking a Salesforce Data Cloud Specialist to join our Salesforce Practice in London. This role will play a key part in driving data-driven innovations, providing data-driven insights, and enabling data-driven decision-making for our enterprise customers.

What you'll be doing:

  • Serve as the Subject Matter Expert (SME) for Salesforce Data Cloud within NTTDATA UK, offering expert guidance on platform capabilities, use cases, cost estimation, and best practices.
  • Collaborate with Salesforce product teams and domain experts to identify opportunities for innovation and future growth leveraging Data Cloud platform.
  • Lead the design and implementation of Salesforce Data Cloud solutions for enterprise clients, ensuring alignment with both business objectives and technical requirements.
  • Architect and manage complex data models and system integrations to facilitate seamless data flow across multiple platforms and systems.
  • Provide technical leadership throughout the project lifecycle, from requirements gathering to final solution delivery, ensuring adherence to best practices.
  • Conduct workshops and technical training sessions to promote knowledge sharing and skill development within the team.
  • Stay informed about Salesforce Data Cloud advancements and industry trends to continually drive innovation and keep our practice at the forefront.

What experience you'll bring:

  • Proven experience as a Salesforce Data Cloud Specialist, with in-depth knowledge of Data Cloud components, such as Data Streams, Unified Data Model, Transformations/Insights, Identity Resolution, Segmentation, and Activations.
  • Hands-on experience with at least two full lifecycle Salesforce Data Cloud implementations.
  • Expert-level understanding of data architecture, data flows, and data integration best practices within Salesforce Data Cloud and the broader Salesforce ecosystem.
  • Salesforce Data Cloud Consultant certification is required.
  • Strong experience with APIs and third-party integrations, including REST, SOAP, and other protocols.
  • Proficiency in ETL tools, data migration, and data cleansing methodologies.
  • Moderate to advanced SQL skills, with experience writing complex queries.
  • Experience integrating with cloud-based data warehouses/data lakes (e.g., Snowflake, AWS, Databricks, Big Query) and data analytics tools (e.g., Tableau).
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to thrive in a fast-paced, collaborative environment focused on delivering exceptional solutions.
  • Experience with additional Salesforce products like Sales Cloud, Service Cloud, Marketing Cloud, Marketing Personalization, Loyalty Management, and Commerce Cloud will be good to have.
  • Additional Salesforce certifications are desirable, including Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist.
  • Familiarity with cloud platforms such as AWS, Azure, and Google Cloud.
  • Knowledge of data security and compliance best practices in cloud-based environments.

Who we are:

We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.

Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, and the Parent Network.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA

What we'll offer you:

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.

#J-18808-Ljbffr

Related Jobs

View all jobs

Salesforce Developer

CRM Marketing Operations Specialist

Application Support Analyst

Associate Head of Data Operations

Technology Strategy Manager (Enterprise Architecture)

Digital Marketing Data Architect (12 months)

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.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.

Job-Hunting During Economic Uncertainty: Data Science Edition

Data science has become essential for modern businesses, enabling data-driven decisions that enhance efficiency, profitability, and strategic foresight. From predictive analytics in finance to recommendation engines in retail, data scientists sit at the crossroads of statistics, programming, and domain expertise, building models that translate raw information into tangible insights. Yet, when broader economic forces create uncertainty—through market downturns, shifting investor priorities, or internal budget constraints—data science roles can experience increased scrutiny, competition, and extended hiring cycles. Despite these pressures, data-driven approaches remain crucial to organizations looking to weather challenges and find opportunities in volatile environments. Whether you’re refining advanced machine learning techniques, fine-tuning data pipelines, or collaborating with business stakeholders on dashboards, your skill set is often still in demand. The key is adapting your job search strategy and personal branding to cut through the noise when fewer roles may be available. This article explores: Why economic headwinds affect data science hiring. Actionable strategies to stand out in a tighter job market. Ways to emphasize your technical and soft skills effectively. Techniques to maintain focus and resilience despite potential setbacks. How www.datascience-jobs.co.uk can help you secure the ideal data science position. By combining strategic thinking, polished communications, and adaptability, you can land a fulfilling data science role that leverages your expertise—even if the market feels more demanding.