Senior Data Architect

Senior Data Architect

Full-Time 70000 - 90000 £ / year (est.) No home office possible
Vector Resourcing

At a Glance

  • Tasks: Lead the design and implementation of data solutions for a global digital transformation.
  • Company: Join a forward-thinking organisation embracing cutting-edge technology.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on innovation and continuous improvement.
  • Why this job: Be at the forefront of data architecture and drive impactful change in a dynamic environment.
  • Qualifications: Proven experience in data architecture and modern data engineering tools.

The predicted salary is between 70000 - 90000 £ per year.

Our client is going through a large, global digital transformation focused on ERP standardisation to Dynamics 365. This role will underpin that transformation by leading the design, development, and implementation of data solutions within the organisation. This is critical for the business to utilise its aggressive implementation of Dynamics 365, all its modules, and workflow processes, through to the implementation of advanced analytics including self-service analytics.

Responsibilities:

  • Design and implement scalable, resilient ETL/ELT pipelines for batch and real-time data across databases, APIs, streams, and file systems.
  • Build and optimise lakehouse and data warehouse architectures for structured and semi-structured data.
  • Collaborate with engineering and integration teams to deliver fit-for-purpose batch and real-time data solutions.
  • Establish frameworks for data quality, observability, and schema evolution to ensure reliable, traceable pipelines.
  • Drive performance and cost optimisation through effective resource management, partitioning, indexing, caching, and monitoring.
  • Ensure data architecture aligns with governance, security, privacy, and operational standards (including DR and auditability).
  • Partner with technical and business stakeholders to design and deliver AI-driven capabilities.

Skills:

  • Data Architecture - need to have led on the design and implementation of multiple data architectures.
  • Data Integrations - batch and real-time integrations, working on a design that allows these alongside the engineers within the data and further development teams.
  • Data Warehouse and Lakehouse improvements - ideally someone who has built from scratch so understands the ins and outs and can continue to develop best practice and deliver improvements.
  • Modern Data Engineering - Microsoft Azure, Synapse, Fabric are a must.
  • DevOps mindset.

Desirable:

  • Experience of integrating data governance tools - Purview - into data architecture.

Senior Data Architect employer: Vector Resourcing

Our client is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration during their global digital transformation. With a strong focus on employee growth, they provide opportunities for professional development in cutting-edge technologies like Dynamics 365 and Azure, while promoting a culture of inclusivity and teamwork. Located in a vibrant area, employees enjoy a supportive atmosphere that values work-life balance and encourages creative problem-solving.
Vector Resourcing

Contact Detail:

Vector Resourcing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Architect

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Architect role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving Dynamics 365 and modern data engineering. We want to see how you’ve tackled challenges and delivered solutions.

✨Tip Number 3

Prepare for the interview by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to data architecture and integration. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team and drive innovation in data solutions.

We think you need these skills to ace Senior Data Architect

Data Architecture
ETL/ELT Pipeline Design
Data Integration
Data Warehouse Development
Lakehouse Architecture
Microsoft Azure
Azure Synapse
Azure Fabric
DevOps Mindset
Data Quality Frameworks
Performance Optimisation
Data Governance Tools
Collaboration with Engineering Teams
AI-driven Capabilities Design

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Architect role. Highlight your experience with data architecture, integrations, and any relevant projects you've led. We want to see how your skills align with our needs!

Showcase Your Projects: Include specific examples of data solutions you've designed and implemented. If you've built data warehouses or lakehouses from scratch, let us know! We love seeing real-world applications of your skills.

Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Vector Resourcing

✨Know Your Data Architecture Inside Out

Make sure you can talk confidently about your experience with data architectures. Be ready to discuss specific projects where you've designed and implemented data solutions, especially in relation to Dynamics 365. Highlight any challenges you faced and how you overcame them.

✨Showcase Your ETL/ELT Expertise

Prepare to dive deep into your knowledge of ETL and ELT pipelines. Bring examples of how you've built scalable and resilient data pipelines, and be ready to explain the technologies you used, particularly in batch and real-time scenarios.

✨Collaboration is Key

Emphasise your ability to work with cross-functional teams. Share experiences where you've collaborated with engineering and integration teams to deliver data solutions. This will show that you understand the importance of teamwork in achieving successful outcomes.

✨Stay Ahead with Modern Tools

Familiarise yourself with the latest tools and technologies in data engineering, especially Microsoft Azure, Synapse, and Fabric. Be prepared to discuss how you've used these tools in past projects and how they can benefit the organisation's digital transformation.

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