At a Glance
- Tasks: Design end-to-end data solutions and ensure data quality across platforms.
- Company: Join a dynamic team at a leading tech company in the Midlands.
- Benefits: Enjoy a hybrid work model, flexibility, and a competitive salary.
- Other info: Collaborative environment with excellent career growth opportunities.
- Why this job: Leverage cutting-edge technology to drive impactful data solutions.
- Qualifications: Expertise in data architecture, analytics, and cloud platforms like AWS or Azure.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled Data Analytics Architect to join our team on a 12-month contract basis. This role involves designing end-to-end data solutions and ensuring data quality and governance across various platforms. The position is based in the Midlands and offers a hybrid working model, providing flexibility and balance.
Responsibilities
- Design scalable, governed, and future-proof architectures across applications like Databricks, SAP Datasphere, and AWS, including ingestion, modelling, lineage, and integration patterns.
- Lead technical design and documentation, owning High-Level Designs (HLDs), Low-Level Designs (LLDs), interface contracts, and design decisions.
- Ensure data quality, governance, and compliance by defining and enforcing standards for data quality, lineage, auditability, and platform governance.
- Drive cross-team alignment by collaborating with business, technical teams, external vendors, and product vendors.
- Provide technical leadership and decision support, guiding teams on best practices, challenging assumptions, simplifying complexity, and making informed architectural decisions.
- Engage in advanced data engineering, designing data engineering patterns and implementing SCD types, load types, and Change Data Capture.
- Develop data integration solutions with a strong understanding of APIs and tools like Postman.
- Provide support to data platforms to ensure scalability, reliability, and alignment with enterprise standards.
- Design conceptual, logical, and physical data models at the enterprise level.
Essential Skills
- Expertise in data architecture and analytics, including experience with SAP, Databricks, and Datasphere.
- Proficiency with cloud platforms such as AWS or Azure.
- Strong understanding of API structures and data integration tools.
- Experience in high-level and low-level design, governance, and assurance.
- Excellent stakeholder management skills.
- Knowledge of relational systems and advanced data engineering.
Additional Skills & Qualifications
- Understanding of SAP Data Structures and Integration, particularly within S/4 HANA, is a nice-to-have.
Work Environment
The role is based in the Midlands and offers a hybrid working model, combining remote work with on-site presence as needed. The environment promotes collaboration with both internal and external stakeholders, ensuring a comprehensive approach to data architecture and solutions.
Hybrid Data Analytics Architect - End-to-End Solutions in Coventry employer: Teksystems
Join a dynamic and innovative team at TEKsystems, where you will have the opportunity to leverage cutting-edge technology in a flexible hybrid working environment. Located in the Midlands, we foster a collaborative culture that encourages professional growth and development, ensuring you can make a meaningful impact while enjoying a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Analytics Architect - End-to-End Solutions in Coventry
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data architecture. Be ready to discuss your experience with tools like Databricks and AWS, as well as how you've tackled data quality and governance in past projects.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of examples where you've simplified complex data issues or led cross-team collaborations. This will demonstrate your ability to drive alignment and deliver impactful solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining our innovative team and contributing to exciting data solutions.
We think you need these skills to ace Hybrid Data Analytics Architect - End-to-End Solutions in Coventry
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data architecture and analytics. We want to see how your skills align with the role of Data Analytics Architect, so don’t hold back!
Showcase Your Technical Skills:When detailing your experience, focus on your proficiency with tools like Databricks, SAP Datasphere, and AWS. We love seeing specific examples of how you've designed end-to-end data solutions in the past.
Highlight Collaboration Experience:Since this role involves working with various teams, make sure to mention any past experiences where you’ve successfully collaborated with stakeholders or led cross-team projects. We value teamwork just as much as technical skills!
Apply Through Our Website:We encourage you to submit your application through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Teksystems
✨Know Your Data Tools
Make sure you brush up on your knowledge of data architecture tools like Databricks, SAP Datasphere, and AWS. Be ready to discuss how you've used these platforms in past projects and how they can be applied to design scalable data solutions.
✨Showcase Your Design Skills
Prepare to talk about your experience with High-Level Designs (HLDs) and Low-Level Designs (LLDs). Bring examples of your documentation and design decisions to the interview, as this will demonstrate your technical leadership and ability to drive cross-team alignment.
✨Emphasise Data Governance
Data quality and governance are key aspects of this role. Be prepared to discuss how you've defined and enforced standards for data quality and compliance in previous roles. Highlight any specific frameworks or methodologies you've implemented.
✨Engage with Stakeholders
Since stakeholder management is crucial, think of examples where you've successfully collaborated with business and technical teams. Show that you can communicate complex ideas clearly and build relationships with both internal and external partners.
