Salesforce Architect-Data modelling specialist
Posted Today by Natobotics
Negotiable
Undetermined
Hybrid
London, England, United Kingdom
Summary: The role of Salesforce Data Architect involves designing scalable data architectures and enhancing data quality within Salesforce Service Cloud. The ideal candidate will possess extensive experience in data modelling and a strong ability to troubleshoot complex data issues. This position requires collaboration with various teams to deliver effective Salesforce solutions that align with business needs. The contract is hybrid, lasting for 6 months with potential for extension.
Key Responsibilities:
- Design, develop, and optimise scalable data models within Salesforce, with a strong focus on Service Cloud.
- Identify, investigate, and resolve data model issues to maintain a robust and scalable data architecture.
- Simplify and rationalise the data estate across a complex Salesforce environment to enhance efficiency and maintainability.
- Collaborate with business analysts, developers, and stakeholders to translate business needs into effective data architecture solutions.
- Define and enforce data governance standards, best practices, and policies to ensure data quality and consistency.
- Lead and support data integration between Salesforce and external enterprise systems, ensuring secure and seamless data flows.
- Provide expertise in data migration, cleansing, and transformation during Salesforce implementations and upgrades.
- Monitor system performance and resolve data-related issues, proposing enhancements when needed.
- Stay updated on Salesforce releases—especially Service Cloud—and evaluate their impact on data models and processes.
- Mentor and guide junior team members on data architecture principles and best practices.
Key Skills:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.
- Extensive professional experience as a Salesforce Data Architect.
- Salesforce Certified Data Architect certification (mandatory).
- Strong understanding of relational, dimensional, and NoSQL data modelling.
- Hands-on experience with Salesforce Service Cloud (configuration and customisation).
- Proven ability to troubleshoot and resolve data model issues within Salesforce.
- Demonstrated experience simplifying and optimising complex Salesforce data estates.
- Proficiency with Salesforce data tools (Data Loader, Data Import Wizard, SOQL, Salesforce Connect).
- Solid understanding of data governance, security frameworks, and compliance standards (e.g., GDPR).
- Experience with Salesforce integrations and APIs (REST/SOAP).
- Strong analytical, problem-solving, and communication skills.
- Additional Salesforce certifications (e.g., Service Cloud Consultant) are highly desirable.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Work Mode: Hybrid – 2 days WFO
Contract Duration: 6 months (with strong potential for extension)
Location: London
Salesforce Data Architect (Data Modelling Specialist)
Certified Expert in Data Modelling with Salesforce Service Cloud Experience
Position Overview
We are looking for an experienced and certified Salesforce Data Architect to join our team. The ideal candidate will have deep expertise in data modelling, extensive hands-on experience with Salesforce Service Cloud , and a proven ability to simplify, optimise, and troubleshoot complex Salesforce data estates. In this role, you will design scalable data architectures, enhance data quality and governance, and collaborate across teams to deliver high-performing and resilient Salesforce solutions that meet evolving business needs.
Key Responsibilities
- Design, develop, and optimise scalable data models within Salesforce, with a strong focus on Service Cloud .
- Identify, investigate, and resolve data model issues to maintain a robust and scalable data architecture.
- Simplify and rationalise the data estate across a complex Salesforce environment to enhance efficiency and maintainability.
- Collaborate with business analysts, developers, and stakeholders to translate business needs into effective data architecture solutions.
- Define and enforce data governance standards, best practices, and policies to ensure data quality and consistency.
- Lead and support data integration between Salesforce and external enterprise systems, ensuring secure and seamless data flows.
- Provide expertise in data migration, cleansing, and transformation during Salesforce implementations and upgrades.
- Monitor system performance and resolve data-related issues, proposing enhancements when needed.
- Stay updated on Salesforce releases—especially Service Cloud—and evaluate their impact on data models and processes.
- Mentor and guide junior team members on data architecture principles and best practices.
Essential Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.
- Extensive professional experience as a Salesforce Data Architect .
- Salesforce Certified Data Architect certification (mandatory).
- Strong understanding of relational, dimensional, and NoSQL data modelling.
- Hands-on experience with Salesforce Service Cloud (configuration and customisation).
- Proven ability to troubleshoot and resolve data model issues within Salesforce.
- Demonstrated experience simplifying and optimising complex Salesforce data estates.
- Proficiency with Salesforce data tools (Data Loader, Data Import Wizard, SOQL, Salesforce Connect).
- Solid understanding of data governance, security frameworks, and compliance standards (e.g., GDPR).
- Experience with Salesforce integrations and APIs (REST/SOAP).
- Strong analytical, problem-solving, and communication skills.
- Additional Salesforce certifications (e.g., Service Cloud Consultant) are highly desirable.
Desirable Attributes
- Ability to thrive in a fast-paced, agile working environment.
- Demonstrated leadership in data architecture initiatives.
- Proactive, adaptable, and committed to continuous learning.
- High attention to detail and a focus on delivering high-quality solutions.