Raya is looking to empower the company to be data-driven by hiring a Senior Data Engineer to build out core data infrastructure and have more ownership and impact.
Requirements
- Expertise in handling large-scale data systems and cloud platforms (preferably AWS).
- Expert in Python and SQL.
- Familiarity with Postgres, MongoDB, and / or Snowflake are a plus.
- Strong experience with data pipeline and workflow management tools like Apache Airflow, Dagster, or Prefect.
- In-depth knowledge of real-time data processing frameworks such as Kinesis, Kafka, or Flink.
- Experience with Segment is a plus.
- Experience with data modeling practices and ETL frameworks, with a strong emphasis on performance optimization and security.
Responsibilities
- Design and build our data architecture, and play a central role in our data strategy.
- Collaborate with the Machine Learning team to architect and deploy the next generation of our ML platform.
- Evaluate, select, and integrate best-in-class tools and frameworks, guiding the company on "build vs. buy" decisions to optimize data processes and infrastructure.
- Work closely with other engineering teams to ensure our data platform integrates with our wider architecture in a secure & performant fashion.
- Partner with the Analytics/Data Science team to ensure our data platform can support all analytical data needs across the organization.
Other
- 5+ years of experience in data engineering with a proven track record of successful data architecture design as well as platform implementation and oversight.
- Excellent communication and collaboration skills to work effectively across teams.
- equity based employment
- unlimited vacation
- 12 weeks paid parental leave
