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- Tasks: Join our team as a Salesforce Data Cloud Architect and lead impactful projects.
- Company: TechOhana partners with a top Salesforce Consultancy in the EU, known for excellence.
- Benefits: Enjoy fully remote work with flexible hours across European time zones.
- Why this job: Be part of a dynamic team delivering high-quality solutions that make a difference.
- Qualifications: Must have Salesforce Data Cloud expertise and proven implementation experience.
- Other info: Competitive rate based on experience; contract role outside IR35.
The predicted salary is between 43200 - 72000 £ per year.
TechOhana has partnered with a leading Salesforce Consultancy in the EU, renowned for delivering high-impact projects across Europe. We are now looking to expand their Salesforce Data Cloud team with an experienced Data Cloud Architect on a contract basis. Role Requirements: Salesforce Data Cloud Expertise: In-depth knowledge of Salesforce Data Cloud architecture, including experience in data modelling, data integration, and data security within the Salesforce ecosystem. Proven Implementation Track Record: A minimum of two end-to-end Salesforce Data Cloud implementations completed in the last year, demonstrating the ability to deliver high-quality solutions on time and to client specifications. Technical Skills in Data Integration and ETL Tools: Proficiency with data integration tools (such as MuleSoft, Informatica, or similar) and ETL processes, enabling seamless data flows between Salesforce and external systems. Data Governance & Compliance Knowledge: Familiarity with data privacy regulations (e.g., GDPR) and the best practices for data governance to ensure secure and compliant data handling. Solution Design & Architecture: Strong capability to design scalable and efficient Salesforce Data Cloud solutions tailored to specific business requirements. Experience with creating technical architecture blueprints, data flow diagrams, and system integration plans. Performance Optimisation and Troubleshooting: Proficiency in optimising Salesforce Data Cloud configurations for performance and troubleshooting any data or system integration issues. Cross-functional collaboration: Ability to work effectively with teams across the organisation, including business analysts, developers, and project managers, to ensure successful project delivery. Strong Stakeholder Management: Excellent communication skills, with the ability to gather requirements, manage client expectations, and provide insights on best practices for leveraging Salesforce Data Cloud. Key Details: Rate: Dependent on Experience Contract Type: Outside IR35 Location: Fully remote, with potential for flexibility across European time zones
Salesforce Data Cloud Architect employer: TECHOHANA
Contact Detail:
TECHOHANA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Salesforce Data Cloud Architect
✨Tip Number 1
Make sure to showcase your Salesforce Data Cloud expertise during networking events or online forums. Engaging with the Salesforce community can help you connect with potential employers and learn about unadvertised opportunities.
✨Tip Number 2
Highlight your recent end-to-end implementations in conversations with recruiters or during interviews. Sharing specific examples of how you delivered high-quality solutions will demonstrate your capability and experience.
✨Tip Number 3
Stay updated on the latest data integration tools and ETL processes. Being knowledgeable about tools like MuleSoft or Informatica can set you apart from other candidates and show your commitment to continuous learning.
✨Tip Number 4
Familiarize yourself with data governance and compliance regulations, especially GDPR. Understanding these aspects will not only enhance your profile but also demonstrate your ability to handle sensitive data responsibly.
We think you need these skills to ace Salesforce Data Cloud Architect
Some tips for your application 🫡
Highlight Your Expertise: Make sure to emphasize your in-depth knowledge of Salesforce Data Cloud architecture. Include specific examples of your experience in data modeling, integration, and security within the Salesforce ecosystem.
Showcase Implementation Experience: Detail your proven track record by listing at least two end-to-end Salesforce Data Cloud implementations you've completed in the last year. Highlight the challenges you faced and how you delivered high-quality solutions on time.
Demonstrate Technical Skills: Clearly outline your proficiency with data integration tools like MuleSoft or Informatica. Mention any relevant ETL processes you've worked with to illustrate your ability to facilitate seamless data flows.
Communicate Soft Skills: Don't forget to showcase your strong communication skills and ability to collaborate with cross-functional teams. Provide examples of how you've managed stakeholder expectations and gathered requirements effectively.
How to prepare for a job interview at TECHOHANA
✨Showcase Your Salesforce Data Cloud Expertise
Be prepared to discuss your in-depth knowledge of Salesforce Data Cloud architecture. Highlight specific projects where you implemented data modeling, integration, and security measures, demonstrating your expertise in the Salesforce ecosystem.
✨Demonstrate Your Implementation Track Record
Share details about at least two end-to-end Salesforce Data Cloud implementations you've completed in the last year. Focus on the challenges you faced, how you overcame them, and the impact your solutions had on client satisfaction.
✨Highlight Your Technical Skills
Discuss your proficiency with data integration tools like MuleSoft or Informatica. Be ready to explain how you've utilized ETL processes to ensure seamless data flows between Salesforce and external systems, showcasing your technical capabilities.
✨Emphasize Cross-Functional Collaboration
Illustrate your ability to work effectively with diverse teams, including business analysts and project managers. Provide examples of how your strong communication skills helped gather requirements and manage client expectations during project delivery.
