As a Senior Analytics Engineer, your customers are all analytics consumers within the Partner Domain, from Partner Networking Analysts to Product Analysts close to our API teams. Everyone who consumes data from your analytics layer is your best friend.

You take ownership of building and evolving a trusted, scalable analytics layer, enabling teams to make decisions confidently. You partner closely with business, product, and tech to ensure a single source of truth for performance metrics, campaign insights, and advertiser behavior.

Your primary focus will be within the Partner (e-commerce) domain, while remaining flexible to contribute across other domains (Customer, Advertising, Finance) as priorities evolve.

Scaling fast while keeping our data foundations clean, consistent, and future proof.

You operate across a broad analytics scope, deciding where to enforce standards and where to empower analysts with flexibility. You work cross-functionally — as part of the Analytics Engineering craft and embedded in a domain team — balancing long-term platform quality with immediate business needs.

At the same time, you integrate AI and agent-driven workflows into how data is built and consumed, while proactively managing performance and cost, which can scale exponentially if left unmanaged.

You are senior analytics engineer who can take high-level direction from a domain lead (e.g. Head of Analytics) and translate it into scalable solutions and tangible impact. In this role you will also be closely collaborating with your fellow analytics engineers within the Analytics Engineering team. You bring knowledge from the domain to the central craft and bring scalability back to the domain.

You will:

• Design and build end-to-end dbt data models, from raw ingestion to domain-level marts
• Own and improve pipeline performance, cost efficiency, and reliability
• Build and maintain robust data infrastructure (e.g. Airflow, CI/CD pipelines)
• Define and monitor data quality, testing, and documentation standards
• Partner with analysts and product teams to translate ambiguous needs into structured data solutions
• Drive best practices and standards across teams and domains
• Act as a technical owner for the health of your data products

Because you bring technical depth, ownership mindset, and a real connection with our analytics consumers within the company.

You’re not just implementing solutions, you are responsible for ensuring they scale, perform, and deliver value. You understand trade-offs between speed, cost, and quality, and you proactively steer towards the right balance.

You’re curious about the business, comfortable with ambiguity, and able to operate independently while aligning stakeholders.

What we expect from you

• ~5 years of experience in Analytics Engineering, Data Engineering, or a similar role
• Proven ability to work autonomously and own problems end-to-end
• Strong experience with SQL, dbt, and modern data stack principles
• Experience with data modeling at scale and supporting multiple use cases
• Understanding of data platform performance and cloud cost optimization
• Ability to translate business needs into technical solutions without detailed guidance
• Comfortable working across teams and domains