Lead Data Engineer

SO, WHAT'S THE STORY?

As a Lead Data Engineer , you will play a key role in the development and maintenance of the organization's data infrastructure. Working within a multi-disciplined team led by the Senior Manager - Data Engineer , you will focus on building and optimizing scalable data pipelines and supporting the delivery of high-quality, reliable data solutions.

This is an exciting opportunity to contribute to a dynamic and innovative environment, where your work will directly impact the organization's ability to harness data for analytics, reporting, and decision-making.

THE GIG

As a Lead Data Engineer , you will :

• Develop and maintain scalable data pipelines to support operational and analytical needs.
• Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions that align with organizational goals.
• Optimize and maintain cloud-based data infrastructure (e.G., Snowflake, Azure) for performance and cost-efficiency.
• Ensure the integrity, reliability, and security of data through robust testing and validation practices.
• Support the implementation of data governance practices, working closely with the Data QA Specialist and Data Governance Lead.
• Monitor and troubleshoot data pipeline performance issues, proactively resolving bottlenecks and incidents.
• Contribute to the design and implementation of data models and schemas that meet business requirements.
• Stay updated on emerging technologies and best practices, recommending improvements to existing processes and tools.

THE STUFF THAT SETS YOU APART

Must-Have Experience :

Technical Skills :

Soft Skills :

Education :

Nice to Have :

We live and breathe Rebellious Self Expression at Dr. Martens, and there are 3 core values at the heart of it. They never stand alone, but work together as a balancing act of rights and responsibilities to support how we work together at DMs. BE YOURSELF . ACT COURAGEOUSLY . SHOW YOU CARE .

At DM your technical capability will go hand in hand with the below :

youll share best practice across the team / business and encourage ideas sharing as well as collaborative problem solving