Staff Data Engineer

hat You'll Do:**

• Lead the strategy, design, execution, system configuration and operations of the business's marketing databases, marketing automation solutions, ML operations and tagging & tracking infrastructure

• Manage the above-mentioned teams by recruiting and training employees, communicating job expectations, and monitoring performance

• Monitor daily operations of our MarTech stack, including our data infrastructure, Tableau automated reports, AI platform and automation solutions

• Work with cross-functional stakeholders in defining and documenting company-wide single sources of truth to ensure consistent and high-quality data

• Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements

• Remain up to date with advances in technology and industry best practices

What You'll Need:

• 10+ years of data engineering experience with 5+ years of experience in working with marketing data engineering

• 5+ years of experience leading and mentoring.

• 3+ years professional Python experience

• Experience in building and successfully executing Data Infrastructure and technology roadmaps

• Prior experience as a Data Architect is a big plus

• Hands on experience in building scalable data solutions using big data technologies

• Strong knowledge of Data Warehouse concepts and operations

• Strong expertise in SQL and performance tuning of ETL pipelines

• Experience with ML practices and production systems

• Understanding of link tracking, pixels/tags, Google Analytics, and marketing attribution

• Working knowledge of Tagging and Instrumentation using Google Tag Manager

• Strong stakeholder management skills with proven ability to coordinate and manage projects across several teams

• Ability to convince leadership on big ideas related to data and technology and drive implementation

• Heavy experience in cloud computing technology like AWS, Google Cloud, etc.

• Experience in Tableau, Looker, or similar visualization / business intelligence platform

• Snowflake, Vertica, Postgres, etc.

• MarTech Knowledge

• Position may require travel

Bonus:

• Python library build and execution following OOP concepts

• Exposure to Apache Airflow or other DAG frameworks

• Amazon's SageMaker

• Media Mix Modelling and Marketing Attribution hands-on experience

Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].

If you have a question regarding your application, please contact [email protected].

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