Senior Engineering Manager, Data Engineering

TL;DR

Senior Engineering Manager (Data Engineering): Leading the data engineering function responsible for building and maintaining a petabyte-scale enterprise data lake with an accent on resilient data pipelines and scalable lakehouse systems. Focus on translating strategic priorities into scalable data solutions, ensuring operational excellence, and fostering a strong culture of ownership and growth.

Location: Hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

Salary: $161,000 to $237,000

Company

hirify.global delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.

What you will do

• Lead hirify.global’s growing data engineering function, responsible for building and maintaining the company’s petabyte-scale enterprise data lake.
• Partner closely with stakeholders across the entire business to translate strategic priorities into scalable data solutions.
• Guide engineering execution and ensure operational excellence.
• Stay hands-on in key parts of our data ecosystem.

Requirements

• 8+ years of experience building and operating distributed software systems, including significant data engineering experience.
• 3+ years of experience managing and scaling engineering teams responsible for production systems.
• Deep, hands-on experience with distributed data processing frameworks like Spark and Flink.
• Experience operating reliable systems with defined SLAs/SLOs and reliability targets.
• Strong understanding of failure modes in distributed systems and how to design for fault tolerance and recovery.
• Demonstrated experience setting, executing, and tracking objectives and key results (OKRs) using quantitative signals and operational metrics.

Nice to have

• Experience operating data platforms with fine-grained access controls and permissions management.
• Familiarity working with regulated datasets including SOX-governed data, GDPR-governed data, and PII.
• Experience running data workloads on Kubernetes.
• Experience with distributed stream processing frameworks like Flink and Kafka.
• Familiarity with lakehouse architectures and table formats such as Iceberg or Delta Lake.

Culture & Benefits

• Medical, dental, and vision insurance - 100% paid for by hirify.global.
• 401(k) with a generous employer match.
• Flexible PTO.
• Catered lunch each day in our office and data center locations.
• A casual work environment and work culture focused on innovative disruption.