Senior Manager, Data Engineering at Strava

San Francisco, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FitnessIndustries

Requirements

7+ years of experience in data engineering, data platform, or a related quantitative domain
3+ years of experience leading and mentoring high-performing data engineering teams
Advanced user of SQL and experience developing production-grade data pipelines using languages like Python, Scala, or Java
Deep experience implementing and maintaining modern ETL/ELT orchestration systems (e.g., Airflow, dbt) and cloud data infrastructure (e.g., Snowflake, BigQuery, AWS, GCP)
Strong track record of driving data quality, governance, and implementation of tools for data cataloging and monitoring
Understanding of underlying infrastructure and engineering best practices (e.g., Kubernetes, CI/CD, software development lifecycle) with ability to influence architectural decisions

Responsibilities

Act as the player-coach for the Data Engineering function, fostering a culture of technical excellence and ownership
Define the long-term vision and technical roadmap for Strava’s core data platform, including development of scalable, robust, and efficient ETL/ELT pipelines
Drive initiatives to improve the quality, integrity, and availability of Strava’s data assets, implementing best-in-class monitoring and alerting systems
Collaborate with Analytics, Data Science, and Product teams to enable advanced data consumption, experimentation, and self-service business intelligence
Represent the Data Engineering team in cross-functional strategic planning and collaborate with the broader data community to elevate technological craftsmanship and data governance standards
Translate company's business objectives into a compelling technical strategy for the Data Engineering team, ensuring data infrastructure supports business relevance
Prioritize and drive execution of projects that improve scalability, efficiency, and extensibility of data models and systems
Serve as a key technical and organizational mentor for the team, guiding on complex architectural decisions and best practices for modern data development
Proactively anticipate data needs of a rapidly growing platform, fostering a culture that prioritizes data integrity, security, and privacy

Skills

Data Engineering

ETL

ELT

Data Pipelines

Data Modeling

Data Quality

Monitoring

Alerting

Snowflake

dbt

Airflow

Spark

Kafka

AWS

Strava

Fitness tracking and social networking platform

About Strava

Strava is a digital platform that allows athletes and fitness enthusiasts to record, track, and analyze their physical activities, offering metrics like speed, pace, and distance. It operates on a freemium model, providing basic services for free while charging for premium features such as advanced training plans and detailed activity breakdowns. Strava distinguishes itself from competitors through its social networking aspect, enabling users to share activities and connect with others, fostering a supportive community. The goal of Strava is to enhance the fitness experience by providing valuable performance insights and encouraging community engagement.

San Francisco, CaliforniaHeadquarters

2009Year Founded

$147.3MTotal Funding

SERIES_FCompany Stage

Consumer Software, Social ImpactIndustries

501-1,000Employees

Benefits

100% company paid benefits for employees and families

Flexible paid time off

$2,000 annual professional development stipend

Paid time off for volunteering

401(k) Plan with company matching

$1000 annual gear stipend

$500 annual gym reimbursement

Onsite fitness rooms with showers, lockers, and towel service

Weekly team workouts

Free yoga classes

Secure bike storage

Twice weekly dinner for those working late

Monthly happy hours

Dog days

Cell phone reimbursement

Snacks & stocked kitchens

Risks

Increased competition from evolving fitness apps may attract users away from Strava.

Over-reliance on partnerships like Apple Fitness may not ensure long-term growth.

Integration with third-party apps could lead to data privacy concerns affecting user trust.

Differentiation

Strava combines fitness tracking with social networking, fostering a unique community experience.

The platform offers a freemium model, attracting a wide range of users globally.

Strava's compatibility with most GPS devices enhances its accessibility and user base.

Upsides

Partnership with Apple Fitness+ expands Strava's reach and user engagement.

Integration with Mibro Fit enhances user experience and social connectivity.

Growing trend of virtual fitness challenges aligns with Strava's community-driven events.

Land your dream remote job 3x faster with AI

Try Jobo Free