Senior Data Architecture Lead – Azure Synapse & Databricks in London

Senior Data Architecture Lead – Azure Synapse & Databricks in London

London Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a team to design and implement data solutions using Azure Synapse and Databricks.
  • Company: Pandora, a leader in innovative data architecture.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on collaboration and innovation.
  • Why this job: Shape the future of data architecture while making a real impact across various sectors.
  • Qualifications: Experience in data architecture and team leadership is essential.

The predicted salary is between 72000 - 88000 £ per year.

Pandora is seeking a senior Solution & Data Architecture Manager to lead a small team of solution and data architects, while hands-on contributing to end-to-end data platform designs across Azure Synapse and Databricks. You will set direction, manage budgets and roadmaps, and collaborate across supply chain, commerce, manufacturing, and omni-channel to deliver scalable, maintainable solutions that align with data architecture principles.

Senior Data Architecture Lead – Azure Synapse & Databricks in London employer: Pandora A/S

At Pandora, we pride ourselves on being a top employer, recognised as one of the Sunday Times’ ‘Best Places to Work 2023’ in the UK. Our vibrant work culture fosters personal growth and development, offering competitive pay, a generous bonus scheme, and unique benefits like an annual jewellery uniform allowance and employee discounts. Join us in creating meaningful moments while enjoying clear career progression opportunities in a supportive environment that values your contributions.

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Contact Details:

Pandora A/S Recruitment Team

StudySmarter Expert Advice🤫

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We think you need these skills to ace Senior Data Architecture Lead – Azure Synapse & Databricks in London

Data Engineering
SQL
Python
Problem-Solving Skills
Communication Skills
ETL/ELT Processes
Data Warehousing

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