Staff Data Engineer, Marketing Technology

This job is for a role within the Marketing Tech team at Thumbtack. The team is responsible for optimizing marketing spend and driving revenue growth. The specific role involves incorporating data into marketing efforts, designing and modeling datasets, and building the data architecture. The ideal candidate should have experience in designing and building data sets and warehouses, as well as collaborating with stakeholders from different functions.

Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for marketing

Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features with a rapidly evolving product line, in partnership with analytics, data science, and machine learning

Integrate with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout marketing to understand their data needs, and help design datasets with the same engineering rigor as any other software we design

Drive data quality and best practices across marketing and business areas

Help build the next generation of marketing data products at Thumbtack, based on real-time data products on top of Apache Kafka

• 8 or more years of experience designing and building data sets and warehouses
• Excellent ability to understand the needs of and collaborate with stakeholders in other functions, especially Analytics, and identify opportunities for process improvements across teams
• Expertise in SQL for analytics/reporting/business intelligence and also for building SQL-based transforms inside an ETL pipeline
• Experience designing, architecting, and maintaining a data warehouse and data marts that seamlessly stitches together data from production databases, clickstream data, and external APIs to serve multiple stakeholders
• Familiarity building the above with a modern data stack based on a cloud-native data warehouse, in our case we use BigQuery, dbt, and Apache Airflow, but a similar stack is fine
• Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance
• Bonus points if you have experience in the marketing domain and third party tools like Branch, Fivetran etc.
• Bonus points if you have experience building ETL data pipelines in a programming language, like Python or Scala
• Bonus points if you have experience using and/or configuring Business Intelligence tools (Looker, Tableau, Mode, et al)
• Bonus points if you have understanding of database internals and query optimization
• Bonus points if you have experience working with semi-structured or unstructured data in a data lake or similar
• Bonus points if you have experience working in data engineering or a similar discipline at a two-sided marketplace or similar B2C technology company
• Bonus points if you have experience mentoring and coaching data engineers and/or analysts

• Virtual-first working model coupled with in-person events
• 20+ company-wide holidays including two week-long shutdowns
• Libraries (collaborative workspaces) in San Francisco, Salt Lake City, Toronto, and Manila
• Stipends for remote work support, home office set-up and Thumbtack services (North America)
• WiFi reimbursements
• Cell phone reimbursements (North America)
• Employee Assistance Program for mental health and well-being