Engineering Manager – Data Science & Data Engineering
| Company | Alchemy |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA |
| Salary | $135000 – $275000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of experience in data engineering, data science, or related domains, and 3+ years of management experience
- Deep expertise in data pipelines, data science and data tooling
- Experience using AI tools
- Excellent communicator and are comfortable discussing complex technical concepts with engineers and partners at any level
- Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks
- Experience working with startups
Responsibilities
- Grow and manage a team composed of data engineers and data scientists
- Partner with product teams and business leaders across Alchemy to identify the highest leverage projects and decisions that we want to root in data.
- Lead the team to develop and implement data pipelines and data analyses so we get real-time business insights into all our business lines.
- Evangelize the use of data and AI across Alchemy, show everyone what is possible, in particular in the area of market intelligence.
- Build tooling so most questions can be answered in a self-serve manner.
- Build expertise with on-chain data sources, and solve some of the unique challenges that the industry faces in being able to observe trends across all chains in real-time.
Preferred Qualifications
- Prefer experience with AWS, Snowflake, DBT, and Apache Superset
- Prefer experience working in Web3
- Able to work Hybrid in SF or NYC only