Manager, Data Engineering

Purpose Financial is hiring a Manager, Data Engineering to lead and grow its data engineering team while remaining hands-on in development. The role designs and scales cloud-native data platforms, sets data engineering strategy and standards, and partners across the organization to support business goals.

Responsibilities:

• Architect and manage high-performance, scalable cloud data platforms (Snowflake, AWS, DBT)
• Lead, mentor, and grow a high-performing team of data engineers
• Build and maintain robust ingestion frameworks, workflow orchestration, and automation solutions using open-source Apache tools (Airflow, Kafka, Spark, NiFi)
• Define data models and standards across structured, semi-structured, and unstructured sources
• Partner with executive leadership to align data strategy with business objectives
• Promote a culture of continuous integration, delivery, and innovation
• Evaluate and manage third-party vendor relationships to ensure reliability and cost efficiency

Requirements:

• 8+ years of experience in a data engineering, data architecture, or related leadership role
• Proven hands-on expertise in cloud computing platforms — Snowflake, AWS, and/or DBT
• Strong proficiency in Python, Java, or Scala, plus SQL & NoSQL database experience
• Deep knowledge of Apache open-source tools (Airflow, Kafka, Spark, NiFi)
• Solid understanding of microservices, event streaming, and distributed systems
• Experience with machine learning and data science concepts
• Exceptional communication skills — you can translate complex technical concepts to any audience
• Bachelor's degree in Computer Science or related field
• Applicants must be legally authorized to work in the United States without requiring immigration sponsorship now or in the future
• Master's