Director of Data Engineering, 1stDibs

• 8+ years of experience in data engineering, including 2+ years leading teams or managing engineering functions
• Strong experience with cloud data platforms (AWS preferred) and modern big data technologies
• Advanced SQL skills for designing, querying, and optimizing relational databases and large datasets
• Proven ability to lead and grow teams, with strong stakeholder management and communication skills
• Deep experience with data warehousing (e.g., Snowflake, BigQuery) and data lake architectures
• Strong proficiency with Python and familiarity with distributed compute frameworks such as Spark
• Experience with orchestration frameworks such as Apache Airflow, Dagster, or similar
• Experience enabling BI and analytics teams through tools like Looker, Tableau, or Power BI
• Hands-on experience with dbt for transformation, modeling, and scalable analytics engineering patterns

Desirable

• We are seeking an experienced and visionary Director of Data Engineering to lead our data strategy, architecture, and infrastructure
• In this critical leadership role, you will oversee the design, development, and evolution of our modern data platform, from real-time streaming pipelines to scalable data warehouse and lake architectures
• You will partner closely with Product, Engineering, and Analytics to ensure reliable, high-quality data powers analytics, reporting, experimentation, and machine learning across the organization
• Lead, mentor, and grow a team of data engineers and database administrators, fostering a culture of collaboration, accountability, and continuous improvement
• Own the end-to-end design, development, maintenance, and migration of scalable ETL/ELT pipelines and data systems
• Define and implement modern data architecture strategies, including data warehousing (e.g., Snowflake, BigQuery), data lakes, and real-time streaming pipelines
• Establish best practices for data reliability, including monitoring, alerting, incident response, and data quality validation
• Integrate and manage data from analytics platforms (including Google Analytics 4 / GA4) to support comprehensive reporting and insights
• Partner with Analytics to enable self-service BI using tools such as Looker, including well-modeled, trusted datasets
• Collaborate with Product and Engineering to ensure accurate instrumentation and reporting for A/B tests and experimentation
• Communicate effectively with stakeholders to align data priorities with business goals and ensure the timely delivery of high-impact initiatives