3 months ago
Base Salary
$153k - $207k/yr
Responsibilities
- Build and operate end-to-end ELT pipelines from Benchling, Salesforce, and third-party systems into Snowflake, using dbt and production standards such as testing, monitoring, and schema versioning.
- Make governed and trustworthy data available for AIDE’s agentic AI tooling and internal AI applications.
- Maintain Snowflake access controls, monitor data quality, uphold privacy and data-access policies, and manage warehouse cost and performance.
- Contribute to warehouse architecture, semantic-layer and metrics-store design, and the broader data architecture strategy.
- Support data and analytics needs across GTM, Customer Success, Product, Finance, and other company functions.
Requirements
- At least 3 years of professional experience building and operating production data pipelines involving ingestion, transformation, and cloud data warehouse modeling.
- Strong SQL and Python skills, with hands-on experience in data modeling methodologies and tools, preferably dbt.
- Experience applying software engineering practices to data systems, including version control, code review, CI/CD, automated testing, and cloud infrastructure such as AWS.
- Production experience with Snowflake or a comparable modern cloud data warehouse.
- Familiarity with orchestration tools such as Airflow for scheduled data jobs.
- Experience supporting stakeholders across multiple departments rather than a single internal customer.
- Understanding of data privacy, governance, data quality, and testing frameworks and best practices.
- Strong communication skills and the ability to translate ambiguous requests from non-technical stakeholders into scoped data solutions.
- Ability to work in a small, fast-moving, still-forming team; interest in learning about life science is helpful but not required.
- Preferred familiarity with product behavioral data, self-service BI tools such as Sigma, Omni, Looker, or Tableau, product analytics instrumentation, event-taxonomy governance, Salesforce, AI-usage telemetry, LLM observability data, AI/ML tooling support, enterprise SaaS, life sciences, biotech, or metrics layers.
Benefits
- Flexible hybrid work arrangement prioritizing in-office collaboration, with employees expected to work on-site three days per week on Monday, Tuesday, and Thursday.
About Benchling
Benchling builds an R&D cloud and AI platform for life sciences, combining electronic lab notebooks, sample/registry management, workflow automation, and developer APIs to run models and integrate data. It sells subscriptions and services to biopharma, biotech, and research organizations; customers include Sanofi and Moderna. Founded in 2012 and headquartered in San Francisco, the company is privately held.