At a Glance
- Tasks: Lead data architecture projects and solve complex problems in a dynamic environment.
- Company: Join AND Digital, a forward-thinking company dedicated to closing the digital skills gap.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by designing scalable data solutions with cutting-edge technologies.
- Qualifications: Experience in data architecture and proficiency in languages like Python, SQL, or R.
- Other info: Collaborative culture with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 Β£ per year.
hackajob is collaborating with AND Digital to connect them with exceptional tech professionals for this role. Our mission is to close the world's digital skills gap.
What You'll Bring To The Table
- Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics.
- Hands-on technical delivery of client-facing data projects across the full SDLC from design to migration, integration and live service in a multi-vendor environment.
- Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
- Strong cloud-native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc.
- Proven experience in quality assuring data programmes, including non-functional testing and performance tuning.
- Hands-on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.
- A keen understanding of industry best-practice around standards, quality and continuous improvement in the field of Data Engineering.
- Experience in conducting large scale enterprise batch and real-time processing from varying sources.
- Experience in building and designing scalable and extensible enterprise data architectures.
Data Architect in Leeds employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Architect in Leeds
β¨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at AND Digital or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, SQL, or cloud technologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and CI/CD practices. Be ready to discuss your hands-on experience with data architecture and how you've tackled challenges in past projects.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect in Leeds
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data technologies and cloud-native skills, as well as any leadership roles you've had. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include specific examples of client-facing data projects you've worked on. Detail your hands-on experience with the full SDLC and any modern software delivery practices you've used. This helps us understand your practical skills and problem-solving abilities.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the important stuff!
Apply Through Our Website: Don't forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at hackajob
β¨Know Your Data Tech Inside Out
Make sure you brush up on your knowledge of the data technologies mentioned in the job description. Be ready to discuss your hands-on experience with tools like Python, SQL, and cloud services like AWS or Azure. Prepare examples of how you've used these technologies in past projects.
β¨Showcase Your Leadership Skills
Since the role requires leadership experience, think of specific instances where you've led a team or project. Be prepared to share how you solved problems at an enterprise scale and how you ensured quality assurance in data programmes.
β¨Familiarise Yourself with Agile Practices
As Agile methods are crucial for this position, make sure you can talk about your experience with Scrum or SAFe. Have examples ready that demonstrate your understanding of CI/CD and DevOps practices, and how they contributed to successful data solutions.
β¨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-time scenarios. Think about challenges you've faced in data architecture and how you approached them. This will show your ability to think critically and adapt in a multi-vendor environment.