Senior Engineering Manager - Big Data

Senior Engineering Manager – Big Data

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, Normalizing and cleansing data across a medallion lakehouse architecture, Systems that rely on high-volume, low-latency messaging infrastructure (e.g. Kafka or similar), 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

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

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