**About Lark** Lark is the world's largest A.I. healthcare provider, servicing
nearly 2 million patients living with or at risk of a chronic disease. Lark is
a companion app on the user’s phone providing real-time coaching, guidance,
and health insights to users. We are on a mission to disrupt the healthcare
industry and make the world a healthier, happier place. Come join our team!
**The Role** Lark is seeking a talented Senior Engineering Manager to lead our
data engineering team, which powers our data insights product for our business
partners and enables us to offer Lark’s health coaching to patients. In this
role, you will cultivate the talents of a team of data engineers to ensure
that we deliver our data products flexibly to meet the diverse needs of both
our external clients and internal colleagues in analytics. At Lark, we believe
in a player-coach approach, where engineering managers are not only leaders
but also hands-on contributors, actively involved in coding and guiding the
team toward excellence. Join us in shaping the future of health technology
with innovation and leadership. **What You’ll Do**
* Serve the needs of data consumers first and foremost (including business analysts, data scientists, and data products that serve external clients) to ensure they have accurate, accessible data
* Partner with product and engineering leads to make prioritization choices
* Partner with data leads on team strategy, with an emphasis on “disagree and commit” principle
* Collaborate with senior data engineers and analytics engineers to determine the best approach to ingest and transform new data sources
* Coordinate project plans with Product Managers and Technical Program Managers
* Build a culture of engineering best practices, with an emphasis on observability, documentation, and risk management
* Mentor and develop team members **What You’ll Need**
* Experience leading and coaching a team of data engineers with varying levels of expertise
* Prior experience with cloud warehouses/lakehouses, especially Snowflake and Databricks
* Experience with orchestration frameworks like Airflow
* Familiarity with medallion architecture/data tiers
* Experience with both ETL and ELT (DBT is a plus)
* Experience with cloud technologies, AWS is a plus
* Experience with both SQL and NoSQL technologies, DynamoDB is a plus
* Knowledge of modern data-engineering best practices
* Familiarity with Spark, and Scala is a plus
* A dedication to code and data reliability and quality **Working at Lark** Lark offers the option to work remotely in the United States. U.S. Salary Range: $180,700 - $237,300. The salary offered to a selected candidate will be based on several factors, including location, level, and will vary depending on confirmed job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in a bonus and a stock award program, as applicable. The company is headquartered in Mountain View, CA. _Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply._ _#LI-JB1_ _#LI-Remote_
