Staff Data Engineer, Marketing Technology

About the MarTech 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.

Challenge

Thumbtack is early in the journey of building out the marketing tech stack. This unique role (reporting into the Marketing Tech engineering team) will help develop and build the vision of incorporating data more fully into marketing at Thumbtack, while both designing and modeling datasets collaboratively with our cross functional team, and also getting one's hands dirty using a modern data stack. 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.

Responsibilities

• 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

What you'll need

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

• 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.
• Experience building ETL data pipelines in a programming language, like Python or Scala
• Experience using and/or configuring Business Intelligence tools (Looker, Tableau, Mode, et al)
• Understanding of database internals and query optimization
• Experience working with semi-structured or unstructured data in a data lake or similar
• Experience working in data engineering or a similar discipline at a two-sided marketplace or similar B2C technology company
• Experience mentoring and coaching data engineers and/or analysts

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working model here.

For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $245,000 - $290,000. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

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