Principal Data Engineer

Job Description:

• Own the design, architecture, and implementation of complex data engineering initiatives
• Develop advanced data pipelines and data platform architecture with significant product or business impact
• Identify and solve scalability constraints, data quality issues, architectural debt, and reliability gaps
• Evaluate and recommend data engineering technologies, tools, cloud services, orchestration frameworks, and transformation tooling
• Mentor data engineers through code review, architectural guidance, and hands-on coaching
• Define and document data engineering standards, architectural patterns, and best practices
• Participate in architecture discussions, design reviews, and pull request feedback
• Partner with product, analytics, and operations stakeholders on complex data initiatives
• Represent data engineering in cross-functional planning conversations
• Communicate technical concepts and architectural trade-offs to technical and non-technical stakeholders
• Evaluate emerging tools, frameworks, and architectural approaches
• Conduct proof-of-concept work and provide recommendations
• Share technical learning with the team

Requirements:

• 7–10+ years of data engineering experience
• Track record of building complex, production-grade pipelines and platforms at scale
• Deep expertise in data architecture, pipeline design, and platform engineering
• Experience with batch/streaming systems, data warehouse and lakehouse architectures
• Experience with Airflow, Spark, dbt, or Databricks
• Strong proficiency in cloud data platforms: AWS, GCP, or Azure
• Experience with Snowflake, Redshift, or BigQuery
• Advanced skills in Python and SQL
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• Snowpark and Snowflake ML/AI experience is a plus
• Proficiency in Scala or Java is a plus
• Coaching mindset and interest in mentoring engineers
• Clear, confident communication with technical and non-technical audiences
• dbt Certified Developer preferred
• SnowPro Certification or advanced Snowflake certifications preferred
• Experience with or certification in Apache Airflow preferred

Benefits:

• Corporate Bonus Plan eligibility
• 100% remote position
• Health insurance
• Dental insurance
• Vision insurance
• 401(k) with matching contribution
• Flexible Paid Time Off (PTO)