Principal Data Engineer

We are seeking a Principal Data Engineer to lead our Data Engineering team and design scalable, governed data across the organization. The ideal candidate will have 10+ years of experience in Data Engineering, including 2+ years in a architectural-level technical role, and expertise in SQL, data modeling, and data mart design.

Requirements

• 10+ years of experience in Data Engineering
• 2+ years in a architectural-level technical role
• Expertise in SQL, data modeling, and data mart design
• Deep hands-on experience with Apache Airflow, dbt, Spark, Kafka, and ClickHouse
• Proven experience designing medallion data architectures and scalable data lakehouse solutions
• Proficiency in Python or Scala, and familiarity with AWS, GCP, or Azure data ecosystems
• Strong understanding of data governance, lineage, and quality frameworks
• Demonstrated ability to mentor engineers and influence architectural strategy across teams
• Experience with real-time or streaming data (Kafka, Kinesis, or Pub/Sub)
• Knowledge of data observability and catalog tools (DataHub, Amundsen, Monte Carlo, Great Expectations, or Soda)
• Experience in eCommerce, retail analytics, or digital marketplaces
• Exposure to governed data contracts and semantic layer frameworks
• Proven track record of leading data architecture initiatives or cross-functional platform modernization
• Contributions to open-source data tools or engagement in data community initiatives

Benefits

• Time off
• Insurance
• Competitive pay