Senior Engineering Manager, Big Data

About the position

Checkr is looking for a Senior Engineering Manager to lead the Criminal Data team. This team is responsible for big data at Checkr: ingesting, storing, and processing records in the billions. As the Senior Engineering Manager for this team, you will be in charge of shaping the technical strategy and overseeing project delivery. The projects you’ll be working on are high impact and scale: you’ll be advancing our architecture and systems to lead Checkr into the next generation of product offerings. The decisions you make will impact millions of people every year, and help businesses make fast, informed, and safe decisions.

Responsibilities

• Drive a motivating technical vision for the team
• Partner closely with product management to solve business problems
• Work with the team to build a world-class architecture that can scale into the next phase of Checkr’s growth
• Hire the best talent and continue to raise the bar for the team
• Represent the team in planning and product meetings
• Optimize engineering processes and policies to drive velocity and quality

Requirements

• 6+ years as an engineering manager
• 8+ years as an engineer
• Exceptional verbal and written communication skills
• Unparalleled bar for quality (data quality metrics, QC gates, data governance, automated regression test suites, data validations, etc)
• Experience working on data products at scale and understanding the legal, human impact, and technical nuances of supporting a highly regulated product
• Experience designing and maintaining real-time & batch processing data pipelines serving up billions of data points
• Experience normalizing and cleansing data across a medallion lakehouse architecture
• Experience with systems that rely on high-volume, low-latency messaging infrastructure (e.g. Kafka or similar)
• Experience with highly tolerant production systems with streamlined operations (data lineage, logging, telemetry, alerting, etc)
• Familiarity with AWS Glue, OpenSearch, EMR, etc
• Familiarity with DevOps (including Infrastructure as Code, CI/CD, containerization, etc)
• Familiarity with developing APIs and backend microservices
• Exposure to machine learning / AI to solve complex data challenges, such as transformation, deduplication, and enrichment
• Exposure to working in the identity space (entity resolution)
• Exposure to managing a globally distributed team

Benefits

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to 25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend, home office stipend
• In-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages