Senior Data Architect

Are you looking for a role where you can design and implement cutting-edge data systems in a company making a real difference in healthcare? Do you want to be part of a mission-driven team revolutionising how healthcare teams communicate, while working in a hybrid setup that values collaboration and flexibility?

If you’re a hands-on Data Architect with a passion for building scalable systems and solving complex data challenges, this could be the perfect role for you.

What’s in it for you?

• You’ll receive a salary of up to £100K, alongside benefits including access to a flexible perks platform where you can choose private health insurance, wellness options, and more.
• You’ll work in a hybrid environment, where you’ll collaborate three days a week in a vibrant Shoreditch office with your team.
• The office offers free healthy breakfasts, lunches, and snacks, prepared by an in-house chef.
• You’ll also benefit from a £600 annual development budget, enhanced parental leave, and even a policy that allows you to work abroad for short periods.

What you’ll be doing

As the Senior Data Architect, you’ll be the first hire in this role, reporting directly to the Head of Data. This is a hands-on position where you’ll design, implement, and maintain the company’s data architecture, driving forward its data engineering capabilities. You’ll work with cross-functional product teams, collaborating with sub-teams in BI, Data Science & Analytics, and Data Engineering to align data strategies and optimise infrastructure.

Your work will include:

• Data Transfers: Solving the challenge of transferring large tables from SQL Server to Snowflake and ensuring data flows smoothly across the organisation.
• Integration & Standardisation: Reviewing and integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems.
• Architectural Vision: Collaborating with technical and non-technical stakeholders to define and enforce best practices, ensuring the architecture supports data-driven decision-making across analytics, machine learning, and BI.

About you

You’ll bring strong expertise in:

• Azure Data Factory: Experience working at scale is highly valued.
• Python: Advanced skills to build and optimise data pipelines.
• SQL: Proficient in querying and transforming data to ensure accuracy.
• ETL: Experience with designing and managing ETL processes for data integration and transformation.
• Cloud Environments: Hands-on experience with Azure, including setting up and managing environments for production use.

Bonus points if you have experience setting up data production environments from scratch, including server configuration and environment setup, or if you’ve worked with SQL to Snowflake integrations. Experience navigating data security challenges, particularly in sensitive industries like healthcare, will also set you apart.

You’ll thrive in this role if you’re motivated by improving healthcare, adaptable to change, and eager to own your work in a dynamic environment. Whether your background is in startups or larger organisations, your ability to build scalable, robust systems will make an impact.

A bit about the company

This health-tech company is revolutionising communication in the healthcare sector with a user-centric SaaS platform. Widely adopted in primary care, it is expanding into hospitals, pharmacies, and other healthcare environments. By partnering with healthcare professionals, the company is driving meaningful improvements in how care is delivered. Backed by recent funding, they are scaling their product and entering new areas of healthcare.

The interview process

• Initial Chat: Meet with the team for a competency-based interview.
• Technical Assessment: Work through a collaborative tech task, possibly followed by a system design challenge.
• Final Stage: Discuss culture and values fit with the leadership team.

Don’t worry if your CV isn’t up to date—just drop me a message at mitch@zebrapeople.com, and we can take it from there.