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For Companies At a Glance
- Tasks: Design and manage innovative data architecture solutions for a leading global professional services brand.
- Company: Join the second-largest professional services network in the world, known for its collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data systems and leading technical teams in a dynamic environment.
- Qualifications: 10+ years in data modeling and engineering; leadership experience is essential.
- Other info: Work with cutting-edge technologies like Azure and Databricks in a fast-paced setting.
The predicted salary is between 54000 - 84000 £ per year.
About Our Client
Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world
Job Description
Qualifications & Required Skills: Full-Time
bachelor\’s or master\’s degree in engineering/technology, computer science, information technology, or related fields.
10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.
8+ years of experience in data engineering development and support.
3+ years of experience in leading technical team of data engineers and BI engineers Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.
Strong communication, interpersonal, collaboration skills along with leadership capabilities.
Ability to work effectively in a fast-paced, dynamic environment as cloud SME.
Act as single point of contact for all kinds of data management related queries to make data decisions.
Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.
Conduct continuous audits of data management system performance and refine where necessary.
Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.
Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.
Ensure data privacy measures comply with regulatory standards.Preferred
* Azure Data Factory (ADF), Databricks certification is a plus.
* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake
The Successful Applicant
Qualifications & Required Skills: Full-Time
bachelor\’s or master\’s degree in engineering/technology, computer science, information technology, or related fields.
10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.
8+ years of experience in data engineering development and support.
3+ years of experience in leading technical team of data engineers and BI engineers Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.
Strong communication, interpersonal, collaboration skills along with leadership capabilities.
Ability to work effectively in a fast-paced, dynamic environment as cloud SME.
Act as single point of contact for all kinds of data management related queries to make data decisions.
Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.
Conduct continuous audits of data management system performance and refine where necessary.
Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.
Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.
Ensure data privacy measures comply with regulatory standards.Preferred
* Azure Data Factory (ADF), Databricks certification is a plus.
* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake
Data Architect employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
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 at firms you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data architecture expertise. This is a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. Think about how you'd tackle real-world problems and be ready to discuss your thought process with potential employers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
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 in data modeling, database design, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t just list your qualifications; showcase them! Use specific examples of how you've used Azure tools, SQL, or Python in your previous roles. This helps us understand your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about the role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality in applications!
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. Plus, it’s super easy!
How to prepare for a job interview at Michael Page
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure Data Factory, Databricks, and SQL. Brush up on your data modelling skills and be ready to discuss your experience with these tools in detail.
✨Showcase Your Leadership Skills
Since the role involves leading technical teams, prepare examples of how you've successfully managed projects or guided teams in the past. Highlight your communication and collaboration skills, as these are crucial for a Data Architect.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you identified bottlenecks or optimised data processing speeds. Be ready to explain your thought process and the outcomes of your actions.
✨Understand the Business Context
Familiarise yourself with the retail domain if possible, as it’s a plus for this role. Understand how data architecture impacts business decisions and be prepared to discuss how you can contribute to the company’s goals.
