Senior Data Engineer, Marketing Technology

About the Marketing Tech Team

Marketing Tech is a critical team at Thumbtack overseeing and optimizing millions of marketing spend and is directly responsible for driving our company’s top line revenue growth. As part of this team, you’d get to work on a wide range of Marketing lanes such as paid (SEM, Social, Streaming Media, etc) as well as organic (SEO, Engagement and Lifecycle Marketing, etc) and have an outsized impact on our broader marketing efforts.

The challenge

Thumbtack is relatively early in the journey of building out a world-class Marketing Tech stack. This role reports to the Embedded Data Engineering team, but works day-to-day with the Marketing Tech engineering team, with a small sub-team of two other Data Engineers. You’ll work collaboratively to develop and build the vision of incorporating data through all aspects of marketing at Thumbtack, designed with our cross--functional team. Thumbtack fosters a very collaborative culture of builders, and as such, you’d help set the data architecture, be hands on in building our datasets and mentor engineers as we go.

What you'll do

• 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

In order to be successful, you must bring

• 4 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- and Python-based transforms inside an ETL pipeline, or similar
• 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
• Experience in the marketing domain and third party tools like Branch, Fivetran etc.