Director of Data

Alpaca
North America, EU, United Kingdom
Workplace: RemoteFull timeFunction: Executive & General ManagementExperience: 8+ yearsSkills: ["Leadership","Stakeholder management","Communication","Problem-solving","Strategic thinking"]

Head of Data leads Alpaca’s ~15-person data department spanning Platform Engineering, Analytics Engineering, and Data Science. Owns data strategy, execution, and roadmap; balances operational delivery with strategic bets, shaping data products used across finance, product, sales, and compliance while guiding architecture and AI-enabled analytics.

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FursaFursa
Alpaca
Alpaca
4 months ago

Director of Data

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Head of Data leads Alpaca’s ~15-person data department spanning Platform Engineering, Analytics Engineering, and Data Science. Owns data strategy, execution, and roadmap; balances operational delivery with strategic bets, shaping data products used across finance, product, sales, and compliance while guiding architecture and AI-enabled analytics.
Location: North America, EU, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Director level

Key Responsibilities

  • •Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery.
  • •Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling.
  • •Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches.
  • •Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements.
  • •Support product launches with data change management: coordinate data impact analysis for new products across downstream datasets, dashboards, and reverse ETL.

Pay and Benefits

Perks:EquityHealth InsuranceRemote WorkLearning BudgetRelocation

Key Requirements

  • •8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)
  • •Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage
  • •Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL
  • •Track record of building self-service analytics capabilities for non-technical stakeholders
  • •Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services
Experience:8+ yearsFintechFinancial servicesBrokerageOpen-source
Skills:LeadershipStakeholder managementCommunicationProblem-solvingStrategic thinking
Languages:English
Tech Stack:TrinoPrestoApache IcebergDbtAirflowAirbyteRedpandaCDCPythonSQLGKEGCSBigQueryKubernetesHelmTerraformBrokerageLLM-powered analyticsData lakehouseData Catalogues

Company Brief

Alpaca
Provides developer-first APIs and brokerage infrastructure for algorithmic and automated stock trading, enabling fintechs and developers to build trading applications with commission-free market access and custody services.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2015
WebsiteLinkedIn