The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers –– and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

So, if you are talented, driven, creative, and eager to join a dynamic, globally-connected team, then we want to talk!

What we do:

This specialized role is within the Technology operations group of The Trade Desk’s Engineering. This group is focused on delivering world-class solutions for Enterprise needs within The Trade Desk. The Data Engineer will be responsible for Enterprise Data Warehouse (EDW) design, development, implementation, migration, maintenance, and operational activities. The candidate will diligently work with the Data Engineering and Business Intelligence teams. They will be one of the key technical resources to drive various Enterprise Data Warehouse initiatives, build critical data marts, data ingestion pipelines to a Big Data platform for data analytics and work closely with the Business Intelligence & Data Analytics teams.

What you'll do:

• Provide Solutions Architect Leadership: Guide the creation of detailed data solutions that meet business needs and adhere to industry standards. Develop technology solutions coordinated with our business and strategic objectives in the scope of our enterprise data warehouse.
• Lead the data architecture and design conversations for the key data models at The Trade Desk including analyzing raw data to drive design decisions.
• Demonstrate effective technical leadership to collaborate with the BI leadership in setting the direction for scaling and integrating the Enterprise Data Warehouse platform and its associated applications.
• Contribute to hands-on design and build to prepare data for both prescriptive and predictive analytics in the enterprise data warehouse
• Act as a technical leader in all phases of a project from discovery and planning through implementation and delivery. Work through all stages of a data solution life cycle: analyze/profile data, create conceptual, logical & physical data model designs, architect, and design ETL, reporting and analytics solutions

• Contribute to best practices and standards around topics including Data Engineering Application architecture, networking/network topology, data management, tool selection, and release pipelines.
• Mentor, advise, and coach team members in technical knowledge, practices, processes, and procedures by providing an elevated level of expertise in technology domains. Provide advice, coaching, and mentorship to team members with technical expertise.
• Design the data governance strategy for the enterprise data warehouse keeping business and information security requirements in mind.

Who you are: 

• Candidate must have 10 years of experience building an Enterprise data warehouse solution and have a broad understanding of Data Modeling, SQL, OLAP, and ETL. Experience working with data pipelines including data modeling at petabyte scale.
• Candidate must have bachelor's degree in computer science, information security, or a related field, or equivalent work experience.

• Candidate must have 10 years of experience working with multiple database platforms by designing and implementing data and analytics solutions using technologies such as Snowflake, Databricks, Vertica, SQL Server, andMySQL.
• Candidate must have 8 years of experience in one or more programming languages,particularly SQL, PL/SQL, Python, C#, Scala. Candidate should have experience with workflow technologies like Spark, Airflow, Glue, Prefect or Dagster

• Candidate must have 8 years of experience performing data analysis, data profiling, data cleansing and data quality analysis in various layers using Database queries in Big Data platforms. Perform data gap and impact analysis for new use cases or changes for any new business requirements and enhancements.

• The candidate should be familiar with DevOps best practices and automation of processes like building, configuration, deployment, documentation, testing, and monitoring.
• Candidate should understand BI and reporting platforms, awareness of industry trends in the BI/reporting space, and how it can apply to an organization’s product strategies.

• Experience building data sets and familiarity with sensitive / PII data.

• Candidate should have proven ability to establish priorities & follow through on projects, paying close attention to detail with minimal supervision. Effective communication, presentation, & organizational skills.
• A big plus - Candidate is familiar with the AdTech industry and its trends.
• Good to have a candidate who understands machine learning and predictive analytics.

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The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.