At a Glance
- Tasks: Lead the design of scalable data solutions and integrate systems for impactful insights.
- Company: Join a forward-thinking company shaping the future of data architecture.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on best practices and career advancement.
- Why this job: Be at the forefront of data innovation and drive AI-powered decision-making.
- Qualifications: 7+ years in Data Architecture with strong Salesforce and Databricks expertise.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. In this role, you will architect scalable data solutions that integrate Salesforce CRM, ERP systems, and operational data into a modern Databricks Lakehouse platform, enabling trusted business insights, analytics, and AI-driven decision-making.
- Design and implement enterprise-wide data architecture and data models across CRM, ERP, and business systems.
- Lead the development and optimization of Databricks Lakehouse architecture using Bronze, Silver, and Gold data layers.
- Architect and maintain Salesforce data models, integration frameworks, and customer data strategies.
- Establish data governance, master data management (MDM), and data quality standards.
- Design scalable ETL/ELT pipelines and data integration solutions.
- Partner with business and technical stakeholders to translate business requirements into data solutions.
- Support analytics, reporting, and AI/ML initiatives through high-quality, accessible data.
- Drive best practices for DataOps, CI/CD, and data-as-code methodologies.
Requirements:
- 7+ years of experience in Data Architecture or related leadership roles.
- Proven expertise in Salesforce Data Architecture, including data modeling, object relationships, integration patterns, and CRM data design.
- Experience designing enterprise-scale data models and data integration frameworks.
- Advanced SQL and data modeling skills.
- Experience integrating Salesforce with ERP platforms such as Sage Intacct, NetSuite, Workday, SAP, or Oracle.
- Strong understanding of data governance, data quality, and Master Data Management (MDM).
- Experience supporting AI/ML and advanced analytics initiatives.
- Exposure to event-driven and real-time data architectures.
Candidates without strong experience in both Salesforce Data Architecture and Databricks will not be considered.
Service Architect (Data Architect) employer: Careerwise
Join a forward-thinking company that prioritises innovation and collaboration, offering a dynamic work environment where your expertise as a Senior Data Architect will be valued. With a strong commitment to employee growth, we provide ample opportunities for professional development and the chance to work on cutting-edge projects that drive impactful business insights. Located in a vibrant area, our workplace fosters a culture of inclusivity and teamwork, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Service Architect (Data Architect)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Careerwise!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Careerwise.
✨Apply Directly through Our Website
When you find a suitable opening like Service Architect (Data Architect) at Careerwise, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Service Architect (Data Architect)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Careerwise, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Careerwise. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Careerwise
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Careerwise!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
