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- Tasks: Lead data transformation projects and shape the future data landscape in a cloud-based environment.
- Company: Join a brilliant company with low staff turnover and a collaborative culture.
- Benefits: Competitive salary, career growth opportunities, and a chance to work with cutting-edge technologies.
- Other info: Dynamic role with opportunities to influence data governance and strategy.
- Why this job: Make a real impact on data architecture and innovation while working with emerging technologies.
- Qualifications: Experience in data architecture, RDBMS, and cloud systems; strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
The Associates Global are seeking an experienced Data Architect to work on an enterprise scale data transformation with a brilliant company with a very low turnover of staff. The role will see you work alongside EA's and the DQ team to help define the future data landscape for this organisation which is most definitely moving to cloud based systems.
This role requires a Data Architect who has the ability to help define and grow the company's Data landscape across product changes, the consolidation of systems, AI adoption and support the various procurement processes. The successful Data Architect will need to have excellent communication skills and ideally a background that spans traditional RDBMS systems as well as more modern cloud based systems. The ideal tech stack experience would include, Oracle (on prem and cloud), SQL Server, Data Factory and Fabric. You will also provide guidance on the future adoption and use of unstructured data.
Some of the pressing tasks you will undertake include:
- Building Enterprise Data models
- Creating new Data structures for one of their primary systems
- Working with DQ to consolidate multiple Masters and copies
- Giving consideration to Digital and web data
- Defining and maintaining the data architecture strategy and roadmap, across all business capabilities, enabling business outcomes, and technical remediation, with a particular focus on the needs of the key partners, Data Service Team, and the Data Governance Team
- Defining and ensuring adherence to data architecture principles, patterns, and standards
- Assuring technology change initiatives from a data perspective
- Supporting technology procurement processes (RFI / RFP) from a data perspective
- Continuously evaluating the data landscapes for architectural debt, modernisation opportunities, and decommissioning candidates
- Partnering with solution, technical architects, developers, and DevOps teams to implement architecture decisions
- Aligning with the other enterprise architecture domains to ensure data supports a robust business, applications, security, and integration architecture
- Staying ahead of emerging technologies like AI and automation
- Assessing and recommending data technology innovation that can enable business innovation
- Maintaining architectural artefacts to an excellent quality (e.g. diagrams, catalogues, principles, standards), advocating use of EA tools to centralise and link domains for impact assessment
- Playing a central authoritative role in architectural governance for data management and maturity
- Creating and maintaining a data architecture annual plan, developing and maturing the capability over time.
Data Architect / BI Architect employer: The Associates Global
Contact Detail:
The Associates Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect / BI Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to data architecture and cloud systems. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms. Remember, we want to see how well you can collaborate with teams and convey your ideas clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect / BI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with RDBMS and cloud systems, and don’t forget to mention any relevant projects that showcase your skills in data architecture and governance.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your communication skills and how you can contribute to defining the future data landscape at the company.
Showcase Your Tech Stack Experience: Be specific about your experience with technologies like Oracle, SQL Server, and Data Factory. If you've worked on AI adoption or unstructured data, make sure to include that too – it’s all about showing you’ve got the right tools for the job!
Apply Through Our Website: We encourage you to apply through our website for a smoother application 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 The Associates Global
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Oracle, SQL Server, and Data Factory. Brush up on your knowledge of both traditional RDBMS and modern cloud systems, as this will show that you can bridge the gap between old and new.
✨Showcase Your Communication Skills
Since excellent communication is key for this role, prepare to discuss how you've effectively collaborated with teams in the past. Think of examples where you’ve worked alongside architects, developers, or governance teams to implement data strategies.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data architecture. Practice articulating your thought process on how you would approach building enterprise data models or consolidating data systems, as this will demonstrate your strategic thinking.
✨Stay Ahead of Emerging Technologies
Familiarise yourself with the latest trends in AI and automation, as well as how they can impact data architecture. Be ready to discuss how you would assess and recommend innovative data technologies that could drive business innovation.