Full Time Posted 3 months ago

Closes: August 25, 2026

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JOB DETAILS

Requirements

5+ years of experience designing, developing, and managing large-scale data platforms, with strong expertise in Snowflake as your primary warehouse
Advanced SQL and dbt proficiency — you write clean, well-tested transformation logic and understand the difference between a well-organised set of dbt models and a true semantic layer
Strong understanding of data modelling techniques — you know when to apply dimensional modelling, Data Vault, or a simpler normalised approach based on the problem at hand
Experience with data integration pipelines — building and maintaining ELT pipelines from SaaS sources (CRM, billing, product databases) into a centralised warehouse
Infrastructure-as-Code experience — you’re comfortable managing data infrastructure programmatically (e.g. Terraform) and understand why it matters at scale
Exceptional collaboration skills — you can translate ambiguous business questions into clear data requirements, communicate confidently with non-technical stakeholders, and contribute positively to a fast-moving, distributed team
A genuine curiosity about how data drives business decisions — you care about the downstream impact of the work, not just the technical elegance of the pipeline
Bachelor’s degree (or higher) in Computer Science, Data Science, Information Technology, or a closely related analytical field — or equivalent practical experience

Responsibilities

Acting as a lead data authority — owning data quality, reliability, and accuracy across our internal analytics platform, and setting the standard for how we work with data at Tracksuit
Managing, scaling, and continuously enhancing our core Analytics data platform (Snowflake + dbt) as Tracksuit expands globally
Maintaining and enhancing our data integrations with internal and external systems (including HubSpot, Subskribe, Vitally, and our product database), ensuring seamless data flow and accessibility
Designing and building self-service data products that meet complex internal business requirements across Finance, GTM, and Product — reducing reliance on ad-hoc requests and enabling faster decisions
Identifying and delivering high-value analytics capabilities for internal stakeholders, translating business problems into well-modelled, trustworthy data
Mentoring junior team members, establishing robust data engineering practices, and helping shape the future of our growing global data capabilities

Desired Qualifications