At a Glance
- Tasks: Define and design data architecture across multiple platforms like Snowflake and Azure.
- Company: Join a leading enterprise focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of data architecture and drive impactful AI projects.
- Qualifications: Proven experience in data architecture and cloud platform implementations.
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) 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 work-life balance, all within a vibrant location that fosters creativity and growth. Join us to make a meaningful impact in the realm of data architecture while enjoying the unique advantages of working with cutting-edge technologies and a supportive team.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Architect (Snowflake, Azure Fabric, AI)
✨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 challenges in previous roles, especially around compliance and interoperability.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with Snowflake, Azure, and AI to stand out from the crowd.
We think you need these skills to ace Principal Data Architect (Snowflake, Azure Fabric, AI)
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, ETL/ELT patterns, and any relevant tools like Databricks or Power BI. We love seeing your hands-on experience!
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 important 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 integration patterns. 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 stakeholders and align technical solutions with business objectives.
✨Understand Data Governance and Compliance
Familiarise yourself with data security standards, GDPR, and other regulatory requirements. Be ready to discuss how you've implemented governance frameworks in previous roles. This will demonstrate your commitment to building long-term value through compliant data architecture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data migration or architecture design. Practice articulating your thought process clearly and logically. This will help interviewers see how you approach complex challenges and make decisions.
