At a Glance
- Tasks: Define data architecture and solution designs across multiple business domains using cutting-edge technologies.
- Company: Join a leading enterprise focused on innovative data solutions and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a fast-paced environment.
- Why this job: Shape the future of data architecture and drive impactful AI and analytics projects.
- Qualifications: Strong background in Data Architecture and expertise in Snowflake and Azure environments.
The predicted salary is between 80000 - 100000 £ per year.
You will be responsible for defining data architecture and solution designs across multiple business domains, working across Snowflake, Microsoft Fabric, Azure and Databricks. You will guide delivery teams, establish data standards and ensure that data products are governed, interoperable and built for long-term value.
Responsibilities
- Define architecture and solution designs for enterprise data products across the full product life cycle.
- Lead data modelling, integration and governance across Snowflake, Fabric, Azure and Databricks environments.
- Provide direction across data replication, CDC, streaming, API access and ETL/ELT patterns.
- Establish standards for data security, access controls, interoperability and regulatory compliance.
- Guide complex data migration from RDBMS, SAP, Salesforce, GIS and other enterprise systems.
- Collaborate with business, analytics and engineering teams to align technical solutions with strategic objectives.
- Support AI, machine learning and advanced analytics use cases through scalable, governed data architecture.
Qualifications
- Strong background in Data Architecture within large-scale enterprise environments.
- Expertise delivering end-to-end cloud data platform implementations using Snowflake, Fabric and Azure.
- Deep experience with Snowflake technologies including Snowpark, SnowPipe, Dynamic Tables, Cortex Analytics and RBAC.
- Strong understanding of data modelling, ELT pipelines, data virtualisation, streaming and enterprise integration patterns.
- Experience with Databricks, Matillion, Alteryx, Qlik, Power BI, AzureML and ERStudio.
- Knowledge of data security, GDPR, SoX and regulated access control environments.
- Excellent stakeholder management skills with the ability to influence technical and business leadership.
Principal Data Architect (Snowflake, Azure Fabric, AI) in City of Westminster employer: Montash Limited
As a Principal Data Architect at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a commitment to employee well-being, all set in a vibrant location that fosters creativity and growth. Join us to make a meaningful impact while advancing your career in a supportive environment that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Architect (Snowflake, Azure Fabric, AI) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture space, especially those who work with Snowflake and Azure. 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 past projects, especially those involving data modelling and integration. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and security standards. Be ready to discuss how you've tackled complex data migrations or collaborated with cross-functional teams in the past.
✨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 makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Principal Data Architect (Snowflake, Azure Fabric, AI) in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with Snowflake, Azure, and data architecture. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Principal Data Architect role. Share specific examples of your past work that relate to our needs.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Mention your experience with data modelling, ELT pipelines, and any relevant tools like Databricks or Power BI. We love seeing how you can contribute to our projects.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Montash Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake, Azure Fabric, and Databricks. Brush up on the latest features and best practices, especially around data modelling and governance. Being able to discuss specific use cases or challenges you've faced will show your expertise.
✨Showcase Your Leadership Skills
As a Principal Data Architect, you'll be guiding teams and influencing decisions. Prepare examples of how you've led projects or initiatives in the past. Highlight your ability to collaborate with different teams and align technical solutions with business goals.
✨Understand the Business Context
Familiarise yourself with the company’s industry and how they leverage data. Be ready to discuss how your architectural decisions can drive value and support strategic objectives. This shows that you’re not just a techie but also understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture and migration. Practice articulating your thought process clearly and logically. This will demonstrate your problem-solving skills and your approach to complex data challenges.
