Principal Data Engineer

About the Role

Seeking a senior Principal Data Engineer to join a dynamic data team dedicated to delivering trusted, high-quality data products that empower decision-making across the organization.

Responsibilities

• Lead architecture, design, and development of scalable data pipelines and platforms.
• Collaborate closely with data scientists, analysts, and business stakeholders to understand needs and translate them into robust technical solutions.
• Ensure data integrity, reliability, and performance across ingestion, processing, storage, and consumption layers.
• Mentor and guide junior to mid-level data engineers through code reviews, best practices, and career development.
• Drive data strategy, tooling choices, and standards across the team.
• Monitor and optimize system performance, implementing improvements as needed.

Required Experience & Skills

• Extensive experience in data engineering, particularly building end-to-end production-grade data pipelines.
• Proficiency in ETL/ELT processes and strong programming skills (e.g., Python, Java, or Scala).
• Hands-on experience with cloud-based data platforms (e.g., AWS, GCP, or Azure).
• Strong experience with Databricks
• Skilled in data modeling, warehousing, and working with both batch and real-time streaming systems.
• Solid understanding of database technologies (SQL/noSQL) and big data tools like Spark, Kafka, etc.
• Demonstrated leadership and mentorship abilities.
• Excellent communication skills, capable of engaging technical and business audiences.

Why Join?

• Be part of a forward-thinking team building mission-critical data products.
• Influence data architecture and standards at scale.
• Opportunity for mentorship, career growth, and working with cutting-edge technologies.
• Supportive environment that values quality, trust, and innovation.