Data Team Lead
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Job Description
Data Team Lead owning data architecture, lakehouse development, and team leadership. Guiding analytics and decisions for a global health and wellness company.
Responsibilities:
- Own the data architecture end to end and set its technical direction, from raw data and pipelines to analytical models and reporting
- Define how data is modeled across the company, including schemas, semantic layers, metric definitions, entities, and relationships
- Own the platform roadmap, including building out the data lake and leading the migration from Dataform to dbt
- Lead and grow the Data team, setting priorities, establishing how the team works, and developing each team member
- Set and enforce standards for data quality, governance, documentation, and reliability
- Own access to customer and other sensitive data and control warehouse costs
- Act as the main point of contact for data across the company, translating Marketing, Finance, Operations, and leadership needs into a clear data direction
- Present data and recommendations to the executive team, turning complex analysis into clear, decision-driving stories
- Perform other assigned tasks
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Business Analytics, Economics, or a related field
- Excellent SQL skills and strong hands-on knowledge of modern analytical data stacks
- Strong background in data modeling and schema design, including dimensional modeling, semantic layers, metrics, entities, and relationships
- Proficiency with cloud data warehouses and data services, ideally BigQuery and Google Cloud, along with dbt/Dataform and Git-based workflows
- Proven ability to design modern data architecture, including building a data lake or lakehouse from the ground up and defining the technical direction for data pipelines and infrastructure
- Ownership of a data function, architecture, or a significant part of one, including establishing standards for data quality, governance, documentation, and reliability
- Demonstrated leadership of data specialists, including setting priorities and technical standards, mentoring team members, and supporting their development
- Proven ability to work with large-scale datasets, ideally in e-commerce or another high-volume digital business
- Strong understanding of e-commerce and subscription metrics, such as CAC, LTV, churn, and contribution margin, with the ability to translate data into business decisions
- Strong stakeholder management skills, with the confidence to work directly with Marketing, Finance, Operations, and senior leadership, and to present and defend data-driven conclusions at C-level
- Excellent written and spoken English
Benefits:
- Remote work; fully remote organization, allowing work from any location
- Home office allowance
- Choice between a MacBook or a Windows-based workstation
- Health and wellness budget
- 25+ working days of holidays
- 2 paid volunteering days each year
- Personal development opportunities through online training
- Professional growth and career advancement opportunities
- Annual achievement bonus
- Exclusive access to company health and wellness products
- Flatwork culture and opportunity to influence the company
- Regular team-building activities and online events
- Welcome package and additional perks
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