At a Glance
- Tasks: Lead the design of enterprise data architecture and support strategic data initiatives.
- Company: High-profile consultancy with a focus on innovative data solutions.
- Benefits: Competitive daily rate, primarily remote work, and opportunity for impactful projects.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Join a major programme and shape the future of data in the energy sector.
- Qualifications: Proven experience as a Principal Data Architect with expertise in Snowflake and Azure Fabric.
The predicted salary is between 66000 - 82500 £ per year.
£825 per day (Inside IR35)
Primarily remote
3 - 6 months
My client, a high-profile consultancy, urgently requires a Principal Data Architect to join a major Programme. This role will play a key part in delivering enterprise data architecture and supporting strategic data initiatives.
Key Requirements:
- Proven experience as a Principal / Lead Data Architect in complex enterprise environments
- Strong track record delivering end-to-end cloud data platforms (Snowflake and/or Azure Fabric)
- Expertise in data modelling (dimensional, star/snowflake, 3NF) and ELT/ETL pipeline design
- Deep hands-on experience with Snowflake (Snowpark, SnowPipe/Streaming, Dynamic Tables, Cortex, Unistore, optimisation, RBAC, warehouses, time travel, zero-copy cloning)
- Broad experience across modern data platforms and tools (Snowflake, Fabric, Databricks, CosmosDB, MongoDB, RDBMS)
- Experience with data integration (Matillion, Alteryx, Qlik), CDC/replication (Qlik Replicate, GoldenGate), and BI (Power BI)
- Strong knowledge of APIs, messaging, and streaming data architectures
- Solid experience in data security, governance, and regulatory frameworks (GDPR, SoX, CNI)
- Strong understanding of relational and NoSQL data architectures
- Proven ability to troubleshoot complex data pipelines and platform issues
- Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian)
- Exposure to Machine Learning, Generative AI, and Agentic AI
- Strong stakeholder engagement and collaboration with BI/analytics teams
Nice to Have:
- Experience within the Energy / Utilities sector
- Hands-on experience with Azure ML or advanced analytics platforms
- Prior involvement in large-scale data transformation or data strategy programmes
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Principal Data Architect - Energy, Data Platforms, Snowflake employer: Hays
Join a high-profile consultancy that values innovation and expertise in the energy sector, offering a dynamic work culture that fosters collaboration and professional growth. With primarily remote working arrangements, you will have the flexibility to excel in your role as a Principal Data Architect while contributing to strategic data initiatives that make a real impact. Enjoy competitive compensation and the opportunity to work with cutting-edge technologies in a supportive environment that prioritises employee development.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Architect - Energy, Data Platforms, Snowflake
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in Snowflake and Azure Fabric. This gives you something tangible to discuss during interviews and shows you're proactive.
✨Tip Number 3
Prepare for the interview by brushing up on common data architecture challenges. Be ready to share how you've tackled complex data pipelines and platform issues in the past. We want to see your problem-solving skills in action!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Principal Data Architect - Energy, Data Platforms, Snowflake
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Principal Data Architect role. Highlight your experience with Snowflake, Azure Fabric, and any relevant data platforms. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've delivered end-to-end cloud data platforms or tackled complex data architecture challenges. We love seeing real examples of your work that demonstrate your expertise!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's necessary. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Hays
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data architecture, especially around Snowflake and Azure Fabric. Brush up on your knowledge of data modelling techniques like dimensional and star/snowflake schemas, as well as ELT/ETL pipeline design. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on experience with Snowflake features such as Snowpark, SnowPipe, and optimisation techniques. Discuss any challenges you faced and how you overcame them. This will demonstrate your practical knowledge and problem-solving skills, which are crucial for a Principal Data Architect.
✨Engage with Stakeholders
Highlight your experience in stakeholder engagement and collaboration with BI/analytics teams. Be ready to discuss how you’ve successfully communicated complex data concepts to non-technical stakeholders. This is key in showing that you can bridge the gap between technical and business needs.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data security, governance, and emerging technologies like Machine Learning and Generative AI. Being knowledgeable about these areas will not only impress your interviewers but also show that you’re proactive about staying ahead in the field.
