Tech Stack
Responsibilities
- Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics, managing leads, setting priorities, and ensuring delivery.
- Own the Data Lakehouse architecture, including Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, and dbt, making build-vs-buy decisions on tooling.
- Drive partner invoicing accuracy and evolution, ensuring invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches.
- Deliver embedded analytics, exposing warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting, and owning row-level security and entitlements.
- Accelerate self-service analytics across the organization via semantic layers, data catalogues, and conversational BI to shift the data team to strategic projects.
Benefits
- Equity
- Health Insurance
- Remote Work
Culture
Stay CuriousHave EmpathyBe AccountableOpen Source ContributorsMission-DrivenRemote Work
Requirements
Regions: Worldwide
Get jobs like this in your inbox
Weekly GCP, Kubernetes, Python hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Alpaca
Industry: fintech
Size: medium
Alpaca is a global leader in agent-first brokerage infrastructure, offering institutional-grade APIs for trading stocks, ETFs, options, crypto, and fixed income.
View company profile →Compensation
Equity: Stock Options
Similar Jobs