Leland is looking for their first data hire to design and own the data foundation, transforming product and business data into a reliable analytics layer to power company-wide decisions and provide leadership with clear visibility into key metrics.
Requirements
- 5+ years in data engineering or analytics engineering with deep warehouse modeling and SQL expertise.
- Proven experience with a modern cloud data warehouse (Databricks, Snowflake, BigQuery, or similar) and dbt in production.
- Strong track record of building semantic/metrics layers and governed datasets used across multiple teams.
- Experience designing event tracking plans and data contracts with product/engineering partners.
- Demonstrated use of testing, observability, and lineage tools to ensure data quality.
- Familiarity with Databricks/Delta Lake (our current environment).
- Python for lightweight transforms and tests.
Responsibilities
- Model the warehouse for usability by creating curated, documented tables that make product and order data accessible.
- Define the semantic/metrics layer with governed, consistent definitions for key metrics like bookings, take-rate, customer channel attribution, and funnel conversion.
- Manage ingestion and orchestration from sources like MongoDB, Posthog, Stripe, Hubspot, and Sendbird into our warehouse with daily/hourly freshness.
- Advocate for analytics in engineering design. Be the voice of downstream data needs in conversations about schemas and product data models.
- Define and enforce data contracts. Set and maintain standards for event tracking, field requirements, and tests so data stays consistent and reliable.
- Guarantee quality and lineage through tests, monitoring, and observability.
- Enable self-serve by publishing user-friendly marts, templates, and training for non-technical teams.
Other
- Clear communicator who can explain data concepts to SQL novices and collaborate with business stakeholders to unlock value through broad-based data access.
- Action-oriented professional who proactively seeks out projects that drive value through increasing data accessibility and insights.
- Early-stage or “first data hire” experience.
- Join a high-growth consumer marketplace startup focused on helping people achieve their goals by connecting them with expert coaches
- Opportunity to take part in building a world-class team
