Data Architect

Mind Gym.; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading behavioural science company is seeking a Senior Data Architect / Lead Data Engineer to own and enhance their data platform and strategy. This role involves managing AWS and Snowflake environments while collaborating with teams to elevate data-driven decisions. Candidates should be experienced in data engineering, fluent in AWS, Snowflake, and Python, and comfortable engaging with stakeholders. Apply now to make a tangible impact in a dynamic environment.

Qualifications

• Experience as a senior data engineer or related role.
• Fluency in AWS, Snowflake, Python, and modern DevOps practices.
• Ability to engage with stakeholders across technical and non-technical teams.

Responsibilities

• Own the end-to-end data infrastructure from architecture to delivery.
• Design and maintain automated ETL/ELT pipelines.
• Define and enforce data governance and security best practices.

Skills

AWS

Snowflake

Python

ETL/ELT

Terraform

Tools

GitHub Actions

Streamlit

Airflow

Kafka/Kinesis

Job description

Help Shape the Future of Data at MindGym

Are you a seasoned data engineer ready to take the next step into a more strategic, high-impact role? Want to own architecture, shape data strategy, and still stay hands-on? At MindGym, you can do all that—and more.

We’re hiring aSenior Data Architect / Lead Data Engineer to design and deliver our company-wide data platform and strategy. This is a senior, autonomous role ideal for an experienced data professional—or a senior engineer looking to step into a lead-level position—who thrives on owning both the technical roadmap and stakeholder relationships.

You’ll take charge of our AWS and Snowflake environment and work directly with teams across Commercial, Finance, and Operations to unlock better, faster decisions through data.

In this role, you’ll:

Own our end-to-end data infrastructure, from architecture to delivery

Design and maintain robust, automated ETL/ELT pipelines

Manage our Snowflake warehouse and AWS S3 data lake

Build internal-facing reporting tools (e.g., Streamlit) that make data accessible

Define and enforce data governance and security best practices

Act as a trusted data advisor to senior leadership

Partner with cross-functional teams to ensure data aligns with real business needs

Use tools like Terraform, dbt, GitHub Actions, and Python in a modern, cloud-native environment

Tech you’ll work with:

AWS (Lambda, S3, Glue, IAM)

Snowflake, dbt, Terraform

Python, Streamlit, GitHub Actions

Bonus: Airflow, Kafka/KinesisIf you’re looking for a role where you can step into leadership while staying close to the tech—and make a real business impact—this is it. Apply now to lead the data journey at MindGym.

This Could Be You If:

You’re a senior data engineer ready for a bigger challenge

You’ve delivered or led company-wide data solutions before

You’re fluent in AWS, Snowflake, Python, and modern DevOps practices

You’re confident engaging with stakeholders across technical and non-technical teams

You work well independently, with a solution-focused mindset

Experience in fast-paced, high-autonomy environments is a plus

About MindGym

MindGym is a behavioural science company that helps people and businesses unlock their potential. We partner with over half the FTSE 100 and S&P 100 to drive lasting behaviour change through learning experiences grounded in psychology.

We’re Committed to Inclusion

We believe that diverse teams build better solutions. We welcome applicants from all backgrounds, communities, and experiences, and are committed to fostering a workplace where everyone can thrive.

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