Thumbtack

5 months ago

Principal Data Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design and evolve Thumbtack’s Data Platform to make data reliable, discoverable, and actionable across real-time and batch workloads. Own platform architecture and core infrastructure for ingestion, orchestration, transformation, metadata, lineage, observability, and data quality governance. Improve the developer experience for data producers and consumers, mentor engineers through design reviews, and guide tradeoffs across scalability, cost, and long-term maintainability.

Location: Ontario

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Define and evolve the platform architecture for shared data platform services (ingestion, orchestration, transformation, metadata, observability) balancing scale, cost, and operational simplicity.
•Implement and own platform features including transformation frameworks, feature stores, real-time ingestion pipelines, lineage, and observability to power analytics and ML.
•Champion observability, governance, and data quality standards so datasets are trustworthy and measurable.
•Improve developer experience for data producers and consumers with tooling, templates, docs, and CI/CD for data assets.
•Mentor engineers through systems thinking, run design reviews, and partner with analytics, ML, and product to prioritize platform investments and make pragmatic tradeoffs.

Pay and Benefits

Salary: USD 221,000 - 286,000 annually

Key Requirements

•8+ years designing, building, and scaling data systems across pipelines, warehouses, and analytical data products with measurable business impact.
•Proven technical leadership architecting and evolving complex data ecosystems, including ownership of data models and transformation frameworks across multiple data domains.
•Advanced proficiency in SQL and Python for building production-grade data systems.
•Deep experience with modern data stacks, including cloud-native warehouses (BigQuery or Snowflake), orchestration (Airflow or equivalent), and transformation frameworks (dbt or similar).
•Strong system design and architecture mindset to reason about scalability, cost, performance tradeoffs, and long-term data strategy.

Experience:8+ yearsData systemsMachine learningAnalyticsData platformsHome services

Skills:Systems thinkingCollaborationInfluenceOwnershipMentorship

Tech Stack:SQLPythonBigQuerySnowflakeAirflowDbtCI/CD

Company Brief

Thumbtack

Provides an online marketplace connecting local service professionals (home improvement, events, lessons, and more) with customers seeking quotes, reviews, and booking tools to hire vetted contractors and providers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn

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Thumbtack

5 months ago

Principal Data Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Ontario

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Define and evolve the platform architecture for shared data platform services (ingestion, orchestration, transformation, metadata, observability) balancing scale, cost, and operational simplicity.
•Implement and own platform features including transformation frameworks, feature stores, real-time ingestion pipelines, lineage, and observability to power analytics and ML.
•Champion observability, governance, and data quality standards so datasets are trustworthy and measurable.
•Improve developer experience for data producers and consumers with tooling, templates, docs, and CI/CD for data assets.
•Mentor engineers through systems thinking, run design reviews, and partner with analytics, ML, and product to prioritize platform investments and make pragmatic tradeoffs.

Pay and Benefits

Salary: USD 221,000 - 286,000 annually

Key Requirements

•8+ years designing, building, and scaling data systems across pipelines, warehouses, and analytical data products with measurable business impact.
•Proven technical leadership architecting and evolving complex data ecosystems, including ownership of data models and transformation frameworks across multiple data domains.
•Advanced proficiency in SQL and Python for building production-grade data systems.
•Deep experience with modern data stacks, including cloud-native warehouses (BigQuery or Snowflake), orchestration (Airflow or equivalent), and transformation frameworks (dbt or similar).
•Strong system design and architecture mindset to reason about scalability, cost, performance tradeoffs, and long-term data strategy.

Experience:8+ yearsData systemsMachine learningAnalyticsData platformsHome services

Skills:Systems thinkingCollaborationInfluenceOwnershipMentorship

Tech Stack:SQLPythonBigQuerySnowflakeAirflowDbtCI/CD

Company Brief

Thumbtack

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn