Senior Data Engineer, Marketing Technology

undefined ago • 4 Years + • Data Analysis

Job Summary

Job Description

Thumbtack is an app for home care and improvement, connecting homeowners with local service businesses. The Marketing Tech team optimizes marketing spend and drives revenue growth, working across paid and organic marketing. This Senior Data Engineer role involves building a world-class Marketing Tech stack, focusing on data integration, architecture, dataset building, and mentoring within a collaborative culture, directly impacting broader marketing efforts.
Must have:
  • Refine and evangelize framework for integrating data-thinking into marketing software development.
  • Design, architect, and maintain core marketing datasets, data marts, and feature stores.
  • Integrate with product engineers, analysts, data scientists, machine learning engineers.
  • Drive data quality and best practices across marketing and business areas.
  • Build next generation of marketing data products based on real-time data (Apache Kafka).
  • 4+ years experience designing and building data sets and warehouses.
  • Ability to understand and collaborate with stakeholders (especially Analytics).
  • Expertise in SQL for analytics/reporting/BI and building SQL/Python-based transforms.
  • Experience designing, architecting, and maintaining data warehouse and data marts.
  • Familiarity with modern data stack (BigQuery, dbt, Apache Airflow).
  • Strong sense of ownership and pride in work.
  • Experience in marketing domain and third party tools (Branch, Fivetran).

Job Details

Thumbtack helps millions of people confidently care for their homes.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.

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.

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