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- Tasks: Lead data management from design to implementation in a high-growth environment.
- Company: Join a globally active organisation with a focus on innovation and growth.
- Benefits: Enjoy hybrid working, private medical insurance, and a pension plan.
- Why this job: Take full ownership of the data lifecycle and make a real impact.
- Qualifications: 8 years of experience in data solutions and expertise in Microsoft Data Stack.
- Other info: Inclusive workplace welcoming diverse applicants; apply even if you don't meet every requirement.
The predicted salary is between 43200 - 72000 £ per year.
Are you a seasoned Data Architect who thrives on taking full ownership of data management from initial architectural design and strategic governance to hands-on implementation? We are partnering with a high-growth globally active organisation for a pivotal leadership role. This position is strategically focused (mostly hands-off) but requires deep technical expertise and a willingness to be hands-on when needed to ensure successful delivery.
You will be accountable for the entire data ecosystem lifecycle:
- Architectural Design & Strategy: Lead the definition of the central data layer and its flow across critical enterprise systems.
- Implementation & Delivery: Oversee and drive the practical implementation of the data solution alongside the team ensuring successful deployment.
- Technology Stack Ownership: Own the data technology stack leveraging the Microsoft / Azure Ecosystem (PowerBI Fabric ideally) and flexible Cloud Data Platforms (Databricks or Snowflake acceptable).
- Governance & Scalability: Define and enforce policies to ensure the data layer is secure, scalable and robust across the full product lifecycle.
- Technical Execution: Utilise your expertise in SQL and Python to solve complex challenges and maintain technical excellence.
What You Need:
- 8 years delivering complex data solutions with proven experience across the full design-to-delivery lifecycle.
- Deep expertise in the Microsoft Data Stack (Azure PowerBI SQL) and Cloud Data Platforms (Fabric Databricks or Snowflake).
- High proficiency in SQL and Python.
- Expertise in Dimensional Modelling and defining robust Data Governance.
- Proven ability to lead strategy, mentor teams and remain comfortable with hands-on technical work when required.
Whats On Offer:
- A challenging and highly autonomous role with full accountability for the data strategy.
- Hybrid Working: Flexible mix of in-office / home working in Oxfordshire.
- Excellent Benefits including Private Medical Insurance and Pension.
Ready to own the entire data lifecycle for a high-growth company? Apply now to find out more!
Inclusion and Diversity: We’re proud to represent clients who celebrate individuality and are committed to creating inclusive workplaces. Applications are encouraged from everyone regardless of background, gender, age, ability or identity. If you’re excited about this role but not sure you meet every requirement, we still love to hear from you.
Data Architect in Oxford employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on a Data Architect role that’s not even advertised yet!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving the Microsoft Stack and Cloud Data Platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled complex data challenges in the past. We want to see your technical expertise shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Architect role. Highlight your expertise in the Microsoft Data Stack and any hands-on projects you've led. We want to see how you can own the data lifecycle!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data architecture and how your experience aligns with our needs. Don’t forget to mention your leadership skills and technical prowess in SQL and Python.
Showcase Your Technical Skills: In your application, be sure to highlight your deep expertise in Azure, PowerBI, and any Cloud Data Platforms like Databricks or Snowflake. We’re looking for someone who can dive into the tech when needed, so let us know what you’ve done!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Humand Talent
✨Know Your Data Stack Inside Out
Make sure you’re well-versed in the Microsoft Data Stack, especially Azure and PowerBI. Brush up on your SQL and Python skills, as you’ll likely be asked to demonstrate your technical expertise during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams and mentored others in previous roles. Highlight your experience in defining data strategies and governance policies, as this is crucial for the role.
✨Understand the Company’s Data Ecosystem
Research the organisation's current data architecture and any recent projects they've undertaken. This will help you tailor your responses and show that you're genuinely interested in how you can contribute to their data lifecycle.
✨Be Ready for Hands-On Scenarios
Even though the role is mostly strategic, be prepared to discuss hands-on implementation scenarios. Think of challenges you've faced in past projects and how you tackled them using your technical skills.
