Principal Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the design, architecture, and execution of intricate data engineering projects.

• Create sophisticated data pipelines and data platform architecture that have a significant impact on products or business operations.

• Identify and address scalability limitations, data quality challenges, architectural liabilities, and reliability deficiencies.

• Assess and recommend data engineering technologies, tools, cloud services, orchestration frameworks, and transformation tools.

• Provide mentorship to data engineers through code reviews, architectural guidance, and hands-on coaching.

• Establish and document data engineering standards, architectural patterns, and best practices.

• Engage in architecture discussions, design reviews, and provide feedback on pull requests.

• Collaborate with product, analytics, and operations stakeholders on intricate data initiatives.

• Represent the data engineering team in cross-functional planning discussions.

• Articulate technical concepts and architectural trade-offs to both technical and non-technical stakeholders.

• Analyze emerging tools, frameworks, and architectural strategies.

• Conduct proof-of-concept projects and offer recommendations.

• Share technical knowledge and insights with the team.

⛳️ Requirements

• 7–10+ years of experience in data engineering.

• Proven experience in constructing complex, production-level pipelines and platforms at scale.

• Profound knowledge in data architecture, pipeline design, and platform engineering.

• Familiarity with batch/streaming systems, as well as data warehouse and lakehouse architectures.

• Experience with tools such as Airflow, Spark, dbt, or Databricks.

• Strong expertise in cloud data platforms including AWS, GCP, or Azure.

• Experience with Snowflake, Redshift, or BigQuery.

• Advanced proficiency in Python and SQL.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

• Familiarity with Snowpark and Snowflake ML/AI is advantageous.

• Proficiency in Scala or Java is a plus.

• A coaching mindset and a desire to mentor fellow engineers.

• Ability to communicate clearly and confidently with both technical and non-technical audiences.

• dbt Certified Developer status preferred.

• SnowPro Certification or advanced Snowflake certifications are preferred.

• Experience with or certification in Apache Airflow is preferred.

🏝️ Benefits

• Eligibility for Corporate Bonus Plan.

• Fully remote position.

• Health insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• 401(k) plan with matching contributions.

• Flexible Paid Time Off (PTO).