​​About the Role:

Hims & Hers seeks an inspiring leader to lead our data engineering efforts. The Data Engineering team sits at the intersection of Engineering, DevOps, and Analytics Engineering. The Senior Manager, Data Engineering position is a crucial leadership role responsible for overseeing a team of data engineers and ensuring the successful delivery of work within the defined domains. This person is responsible for the infrastructure, data warehouse and data pipelines that power analytical models and operational data workloads, as well as the team who builds, operates, and maintains them. The manager will be working closely with the DevOps, Engineering and Analytics Engineering teams to bring alignment in order to leverage the Self-Service Data Platform to build new data pipelines and migrate existing data platform currently hosted on Google BigQuery to Databricks on AWS where the Enterprise data resides. 

You Will:

• Lead a team responsible for large-scale Data and ML Infrastructure
• Creatively tests and manages software applications and associated programs that support large-scale real-time and batch data pipelines
• Guides the team to ensure the successful implementation of new concepts or methods
• Be a recruiter 
• Researching and recommending frameworks, and promoting operational excellence
• Identifies and addresses potential issues in work processes, offering continuous improvement recommendations
• Overseeing the processes of unit testing, establishing SLAs, and ensuring data quality checks
• Demonstrates proficiency and up-to-date knowledge in languages, data platforms, cloud services, event instrumentation, and methodologies
• You must have excellent listening, writing skills and very strong technical competency
• You have a high bar for code quality and passion for design and architecture
• Setting technical vision and engineering best practices in collaboration with senior engineers within the team
• Perform code reviews

You Have:

• Bachelor's degree in Computer Science/Engineering or related field.
• 10 years of relevant work experience in data engineering and leading teams.
• 12 years of experience with SQL, preferably for data transformation or analytical use cases.
• Outstanding people skills with high emotional intelligence
• Excellent at communicating context, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement
• Your team and partners see your humility all the time and diverse high-caliber talent wants to work with you.
• Experience using version control (command-line, Git).
• Proficiency in Python and SQL.
• Familiarity with Databricks, Kafka, or similar technologies.
• Demonstrated experience engaging and influencing senior leaders across functions, including an ability to communicate effectively with both business and technical teams.
• Strong understanding of modern data stack and architectural strategies.
• Experience developing a team in a fast-paced, high-growth environment.
• Experience working with management to define and measure KPIs and other operating metrics.
• Understanding of SDLC and Scrum framework.

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

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