Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 125 organizations in over 140 countries, from frontline and call center workers to executives at multinational companies.

As a Data Engineering and Analytics Manager, you will lead our data engineering and analytics engineering efforts. This role is pivotal in advancing our data maturity, building robust data infrastructure, and delivering actionable insights to support business and product decisions. As a key member of our team, you will work closely with cross-functional teams to ensure our data initiatives align with our strategic objectives.

While you’re a leader, you’re comfortable rolling up your sleeves and diving into the details hands-on when necessary. You’ll provide technical leadership and feedback to senior and lead individual contributors, and ensure that Thrive is using the right tools and processes for a robust infrastructure stack.

We need a kind and caring team player who takes responsibility for organizational outcomes and is ready to collaborate with Business, Product, and Technology partners.

If you’re not sure that you’re 100% qualified, but this sounds like a role you would Thrive in – we want you to apply! We believe skills are transferable and passion for our mission goes a long way.

How You'll Contribute:

Lead a team of talented data & analytics engineers, providing guidance, mentorship, and support as a player-coach to ensure the team's success and alignment with product goals and Thrive’s vision and mission.
Design and develop features to improve the capabilities, robustness, accuracy and overall performance of our data analytics pipeline
Work collaboratively and foster strong relationships with Product, Engineering, Product Analytics, and Data Science to ensure product KPIs are reliable, accurate, and factored into the accuracy of the models produced and leveraged by the Thrive product.
Articulate the data engineering vision and strategy to internal teams and stakeholders through effective storytelling and presentations.

Must Haves:

Demonstrated success in leading and managing high-impact data and analytics engineering projects. This includes overseeing project lifecycles, driving strategic initiatives, and mentoring technical teams to achieve project goals.
Demonstrated expertise in modern data stack components and infrastructure. Our technology stack includes BigQuery, Google Cloud Storage, Segment, Dagster, dbt, Kubernetes, and Airbyte. Familiarity with alternative tools is also valued.
Strong proficiency in SQL and Python is essential.
Extensive experience in data modeling, including star-schema and events-based modeling, preferably using dbt.
Proven ability to ensure data reliability, accuracy, and security. This includes implementing data governance best practices, creating and maintaining data quality standards, monitoring data pipelines, and ensuring compliance with relevant regulations and policies.
Ability to lead communications across multiple levels, from detailed technical designs and requirements with engineering to product initiatives with key business stakeholders.

What We Offer:

Being part of a mission-driven company that’s truly making a difference in the lives of people around the world
Ability to develop within the company and shape our growth strategy
A human-centric culture with a range of wellness perks and benefits
A competitive compensation package
Medical, dental and vision coverage + 401k program with company match
Generous paid time-off programs

Compensation for this role depends on level, and will likely fall in the range of $183,000 - $250,000 We provide a competitive mix of salary, performance bonus, and equity

Thrive is deeply committed to creating a safe and welcoming work environment free of discrimination and harassment so that all employees can bring their whole selves to work.

Thrive is proud to ensure equal employment opportunity (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, gender identity, gender expression, sexual orientation, age, marital status, family or parental status, veteran status, or any other characteristic protected by applicable federal, state or local law.

Thrive is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please inform Thrive’s Recruiting team if you need any assistance completing any forms or to otherwise participate in the application process.

Thrive Global jobs

Data Engineering & Analytics Manager