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- Tasks: Lead the design and development of a cutting-edge data platform on Azure.
- Company: Join a leading global insurance firm based in London, known for innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data-driven innovation and work with top-tier teams.
- Qualifications: Experience in data architecture and leadership, with skills in Azure and ML integration.
- Other info: This role offers a chance to shape the future of data governance and analytics.
The predicted salary is between 72000 - 108000 £ per year.
My client, a large Global Insurance firm in London, are seeking an exceptional Lead Data Architect to lead the architecture and development of an enterprise-scale data platform on Azure and Databricks. The Lead Data Architect will define the data platform strategy, lead a team of solution architects, and drive best practices in data governance, security, and advanced analytics. You will work closely with business leaders, data engineers, and AI/ML teams to build a modern, future-proof data ecosystem that supports data-driven innovation.
The ideal candidate must have:
- Experience in data architecture, solution architecture, or cloud data engineering, with a focus on data platform strategy and leadership.
- Proven experience leading and mentoring teams in data platform architecture and solution design.
- Extensive experience with data integration, MDM, data governance, and data quality tools.
- Experience designing and integrating Machine Learning (ML) architectures on Azure, including: MLOps and model lifecycle management in Azure ML and Databricks.
- Model deployment, serving, and monitoring within a Lakehouse or Data Mesh framework.
- Proficiency in Apache Spark, Python, SQL, and Scala for large-scale data processing.
- Excellent leadership, stakeholder engagement, and communication skills.
Please apply if you have the above skill-set.
Lead Data Architect (Azure) employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect (Azure)
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience with Azure and Databricks. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in data governance and advanced analytics.
✨Tip Number 2
Showcase your leadership skills by participating in relevant online forums or communities. Share your insights on data platform strategies and engage in discussions about best practices in data governance and security to demonstrate your expertise.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Apache Spark, Python, SQL, and Scala. Consider working on personal projects or contributing to open-source projects that utilise these technologies to enhance your practical experience.
✨Tip Number 4
Prepare for interviews by developing a clear understanding of how to design and integrate Machine Learning architectures on Azure. Be ready to discuss your approach to MLOps and model lifecycle management, as well as your experience with Lakehouse or Data Mesh frameworks.
We think you need these skills to ace Lead Data Architect (Azure)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and cloud data engineering, particularly with Azure and Databricks. Use specific examples that demonstrate your leadership skills and successful projects you've led.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the ideal candidate for the Lead Data Architect role. Discuss your experience with data governance, security, and advanced analytics, and how you can contribute to building a modern data ecosystem.
Showcase Technical Skills: Clearly outline your proficiency in Apache Spark, Python, SQL, and Scala within your application. Provide examples of how you've used these technologies in previous roles, especially in relation to large-scale data processing.
Highlight Leadership Experience: Emphasise your experience in leading and mentoring teams. Include specific instances where you have driven best practices in data platform architecture and solution design, as this is crucial for the role.
How to prepare for a job interview at Job Traffic
✨Showcase Your Leadership Skills
As a Lead Data Architect, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully guided teams in the past, focusing on your leadership style and the outcomes of your mentorship.
✨Highlight Your Technical Expertise
Be ready to discuss your experience with Azure, Databricks, and relevant tools like Apache Spark and SQL. Prepare to explain complex concepts in a way that shows your depth of knowledge while remaining accessible to non-technical stakeholders.
✨Discuss Data Governance and Security
Given the importance of data governance and security in this role, be prepared to talk about best practices you've implemented in previous positions. Share specific examples of how you've ensured data quality and compliance in your projects.
✨Engage with Business Leaders' Perspectives
Since you'll be working closely with business leaders, it's crucial to understand their needs. Research the company’s business model and think about how a robust data platform can drive innovation and support their goals. Be ready to discuss how you can align data strategies with business objectives.
