At a Glance
- Tasks: Lead enterprise data strategy and design Azure-native data platforms.
- Company: Join a global legal services firm in Central London.
- Benefits: Permanent hybrid role with competitive salary and career growth.
- Other info: Dynamic environment with opportunities to mentor and lead teams.
- Why this job: Shape the future of data architecture and drive AI/ML adoption.
- Qualifications: 5+ years as a Data Architect with Azure expertise.
The predicted salary is between 80000 - 100000 £ per year.
Permanent Hybrid: 40% onsite a week
Location: Central London (Bank Station)
Opportunity: Permanent Position
Office Location: Central London (Bank Station)
Hybrid Model: 40% onsite in the office is required
Industry: The Global Legal Services firm
Role Summary: Lead enterprise data strategy and architecture. Own Azure-native data platform architecture, governance frameworks, and drive AI/ML adoption across the business. The ideal candidate is an extensive hands-on architect with high-regulated data architect life cycle experience covering data lakes, data warehouses, from concept to deployment and consumption. Must have hands-on HLD and LLD experience developing data modelling and core Azure native data solutions.
Key Responsibilities:
- Own and execute enterprise data strategy - Enterprise data, BI, and reporting solutions
- Design and develop Azure-native data platforms (Synapse, Data Factory, Databricks, Purview)
- Lead data governance board and ensure GDPR compliance
- Drive data-driven decision making across the business
- Mentor teams and manage vendor relationships
Essential Requirements:
- With the past 5 years of working experience as a Data Architect and executing a data strategy
- TOGAF 9+ certified or higher is desired
- Experience with working with accounting and finance systems, preferably in a Law firm or professional services firm.
- Good experience in owning and managing an enterprise data model in various data domains
- Extensive hands-on architect with high-regulated environments
- Complete enterprise data architect life cycle covering everything in data management - from concept to deployment and consumption
- Strong Hands-on High-Level Design (HLD) and Low-Level Design (LLD) experience covering Data modelling (Conceptual, logical, and physical)
- Azure Expertise: Deep hands-on experience developing core Azure native data solutions: Synapse Analytics, Data Lake Gen2, Data Factory, Databricks, CosmosDB, Microsoft Fabric, Azure Purview for data governance
- Integration: Experience with MDM platforms (Profisee, Semarchy, CluedIn)
To be considered, please ensure you complete your application on the Computappoint website.
Data Architect employer: Computappoint
As a leading Global Legal Services firm located in the heart of Central London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our hybrid working model allows for flexibility while ensuring collaboration and mentorship opportunities, particularly for our Data Architects who will play a pivotal role in shaping our enterprise data strategy. With access to cutting-edge Azure technologies and a commitment to professional development, we offer a rewarding environment for those looking to make a significant impact in the legal sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in legal services or data architecture. 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 showcasing your Azure-native data solutions and any projects you've led. 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 knowledge of data governance and GDPR compliance. Be ready to discuss how you've implemented these in past roles, as it’s crucial for this position.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure solutions and data governance, as these are key for us. Use specific examples that showcase your hands-on experience in high-regulated environments.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data architecture and how your skills align with our needs. Mention your experience with enterprise data strategies and any relevant certifications like TOGAF.
Showcase Your Projects:Include details of projects you've led or contributed to, especially those involving Azure-native data platforms. We love seeing real-world applications of your skills, so don’t hold back on the specifics!
Follow Application Instructions:Make sure to apply through our website as instructed. It helps us keep track of your application and ensures you’re considered for the role. Plus, it shows you can follow directions—always a bonus!
How to prepare for a job interview at Computappoint
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around Synapse, Data Factory, and Databricks. Be ready to discuss how you've used these tools in past projects and how they can benefit the firm's data strategy.
✨Showcase Your Data Governance Skills
Prepare examples of how you've implemented data governance frameworks in previous roles. Highlight your understanding of GDPR compliance and how it impacts data architecture, as this is crucial for the role.
✨Demonstrate Your Leadership Experience
Since the role involves mentoring teams and managing vendor relationships, think of specific instances where you've led a project or guided a team. Share how you foster collaboration and drive data-driven decision-making.
✨Be Ready for Technical Questions
Expect in-depth technical questions about high-level and low-level design. Prepare to explain your approach to data modelling and the enterprise data architect life cycle, showcasing your hands-on experience in regulated environments.
