At a Glance
- Tasks: Design and implement scalable data architectures in a cloud environment for diverse clients.
- Company: Join a forward-thinking consultancy focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous learning and development.
- Why this job: Shape the future of data analytics while working with cutting-edge technologies.
- Qualifications: Experience in data analytics, cloud technologies, and strong problem-solving skills.
The predicted salary is between 70000 - 90000 £ per year.
Our Data Architects work within the consultancy team in technical delivery, technologies and concepts in areas such as Data Storage, Data Ingestion, Data Integration, Data Warehousing, Data Preparation and Cloud Infrastructure. The main purpose of the Data Architect role is to create a robust and scalable data architecture in a cloud environment that supports Dufrain clients' data-driven goals, ensures data security and compliance, optimizes costs, and enables efficient data processing and analysis.
To be a suitable candidate for this Data Architect role you will have the experience to:
- Demonstrate deep expertise in enterprise-level data analytics solutions end-to-end, with a focus on Lakehouse Architecture and ML/AI-driven analytics.
- Apply domain knowledge to recommend best practices and innovative architectures for modern data platforms.
- Develop good working relationships with clients on a project, including presenting deliverables and proof of concept demonstrations with confidence.
- Inform a client's data strategy, encouraging adoption of best practices.
- Gather requirements from stakeholders with a range of technical backgrounds.
- Have accountability for the delivery of solutions that delight our clients.
- Deliver to agreed plans and timelines, ensuring high standards of architecture, performance, and security.
- Contribute to the Architecture Practice to develop standard architecture patterns and resources.
TECHNICAL SKILLS
- Several years of experience in data analytics, consulting, or a related field.
- Proficient with data modelling 3NF/Kimball.
- Excellent understanding and experience of implementing Modern Data Warehouse architectures.
- Experience with back-end Azure Data Engineer technologies like ADF, Azure SQL Database and Synapse.
- Proficient in designing, implementing, and maintaining solutions using Microsoft Fabric.
- Strong understanding of SQL and NoSQL databases, SQL, Cosmos DB and Kusto Query Language (KQL).
- Solid experience of data pipeline development using both cloud and on-premises data sources.
- Excellent problem-solving, analytical, and communication skills.
- Strong desire to learn and adapt to new technologies.
Desirable experience:
- Consulting experience.
- Data governance principles including Microsoft Purview.
- Azure Infrastructure and Networking experience.
- Microsoft Fabric solution design and implementation.
- Databricks experience.
- Machine Learning and AI.
- Python data engineering experience.
- DevOps experience.
- Power BI semantic modelling.
Nice to have certifications:
- Microsoft Certified: Fabric Analytics Engineer Associate DP-203/700.
- Azure Data Engineering AZ-305.
- Azure Solutions Architect.
Senior Data Architect employer: Dufrain Consulting
Dufrain is an exceptional employer that fosters a collaborative and innovative work culture, particularly for our Senior Data Architects. Located in a vibrant tech hub, we offer competitive benefits, continuous professional development opportunities, and the chance to work on cutting-edge data solutions that empower our clients. Join us to be part of a team that values creativity, encourages growth, and prioritises employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Senior Data Architect role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio that highlights your best projects, especially those involving data architecture and cloud solutions. When you get the chance to chat with potential employers, share your successes and how you've tackled challenges in past roles.
✨Tip Number 3
Practice makes perfect! Before any interviews, do some mock sessions with friends or mentors. Focus on articulating your experience with data modelling, Azure technologies, and how you've delivered successful data strategies. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for the role and the company right from the start.
We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Architect role. Highlight your expertise in data analytics solutions, especially around Lakehouse Architecture and ML/AI-driven analytics. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your experience aligns with our consultancy team's goals. Don’t forget to mention any relevant projects or achievements that showcase your skills.
Showcase Your Technical Skills:Be specific about your technical abilities in your application. Mention your experience with Azure technologies, data modelling, and any other relevant tools. We love seeing candidates who can demonstrate their hands-on experience with modern data platforms!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Dufrain Consulting
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest trends and technologies related to data architecture, especially Lakehouse Architecture and ML/AI-driven analytics. Brush up on your knowledge of Azure Data Engineer technologies and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about times when you had to gather requirements from stakeholders with varying technical backgrounds and how you ensured everyone was on the same page.
✨Build Rapport with Clients
Demonstrating strong interpersonal skills is key. Practice how you would present deliverables and proof of concept demonstrations confidently. Remember, it’s not just about the technical skills; showing that you can build good working relationships with clients is crucial.
✨Be Ready to Discuss Best Practices
Familiarise yourself with data governance principles and best practices in data strategy. Be prepared to challenge existing approaches and suggest innovative solutions that align with the company’s goals. This shows your proactive mindset and commitment to delivering high-quality results.
