At a Glance
- Tasks: Design and implement innovative data solutions while ensuring quality and governance.
- Company: Join a dynamic team at a leading tech company in the Midlands.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
- Other info: Flexible working hours and a supportive team culture await you.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: Experience 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.
Data Analytics Architect 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 collaborative environment. With a strong reputation in the industry, we offer a hybrid working model that promotes flexibility and work-life balance, alongside ample opportunities for professional growth and development in the Midlands.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Architect 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. Practice common interview questions and be ready to showcase your expertise with tools like Databricks and AWS.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you, and tailor your approach to each one to stand out from the crowd.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Data Analytics Architect in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Architect role. Highlight your experience with data architecture, analytics, and any relevant tools like SAP or Databricks. 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 passionate about data solutions and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:In your application, don't forget to showcase your technical skills, especially around cloud platforms like AWS or Azure. Mention any specific projects or achievements that demonstrate your expertise in data governance and quality.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Teksystems
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in data architecture principles, especially those related to SAP, Databricks, and AWS. Brush up on your knowledge of end-to-end data solutions and be ready to discuss how you would design scalable architectures.
✨Showcase Your Technical Design Skills
Prepare to talk about your experience with High-Level Designs (HLDs) and Low-Level Designs (LLDs). Bring examples of past projects where you’ve led technical design and documentation, and be ready to explain your design decisions clearly.
✨Emphasise Data Quality and Governance
Be prepared to discuss how you ensure data quality and governance in your projects. Share specific standards you’ve defined or enforced in the past, and how you’ve collaborated with teams to maintain compliance.
✨Demonstrate Stakeholder Management Skills
Highlight your experience in managing stakeholders effectively. Be ready to provide examples of how you’ve driven cross-team alignment and collaborated with both technical and business teams to achieve project goals.
