We are seeking a highly experienced and forward-thinking Staff Data Engineer to lead the design and evolution of our data infrastructure. In this senior-level position, you’ll architect scalable, high-performance systems that enable analyzing site traffic, telemetry, search performance, and advertising effectiveness. You will also collaborate closely with software engineers and data scientists to build production-grade analytic data products and mentor other data engineers.

What You’ll Do

• Design and implement end-to-end data architecture for real-time and streaming pipelines to support analytics and data products.
• Capture and process website telemetry data using tools like Segment and integrate with downstream systems for analysis.
• Optimize compute performance and cost in Snowflake, including query tuning, resource scaling, and data modeling best practices for analytic and reporting data.
• Leverage technologies like ClickHouse for fast, efficient storage and querying of large-scale log and event data for data products.
• Build and manage orchestration workflows with Airflow and manage real-time data pipelines using Estuary, including change data capture and event streaming.
• Design data models to support search algorithm performance analysis and analytics around advertising server outputs.
• Work directly with software engineers and stakeholders to define data product requirements and deliver impactful solutions.
• Mentor junior and mid-level data engineers, fostering best practices in code quality, testing, and architecture.

Requirements

• 10+ years of experience in data engineering and architecture, with a focus on real-time systems and scalable infrastructure.
• Hands-on experience with streaming data technologies (e.g., Kinesis) and real-time data integration platforms like Estuary.
• Proficient with Airflow for scheduling and orchestrating complex workflows.
• Knowledge of Snowflake and ClickHouse (or similar technologies) for database design and query optimization.
• Familiarity with customer data platforms for telemetry data capture (Segment preferred).
• Knowledge of GraphQL APIs in modern microservices environments.
• Solid understanding of AWS services including S3, Lambda, EC2, IAM, and data-related services.
• Strong skills in SQL, Python and dbt; experience with Spark or Scala, a plus.

Preferred Qualifications

• Experience in ecommerce, ad tech, or content discovery/search platforms.
• Familiarity with data governance, observability, and lineage tools.
• Exposure to ML infrastructure or data science collaboration is a plus.

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