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Metro location and sought-after Data Engineering Manager profile increase candidate competition.
Core data engineering skills are transferable, but streaming/ClickHouse domain experience increases sensitivity.
Mandatory 12+ years plus specific Java, ClickHouse, AWS, and data pipeline requirements increase strictness.
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Lead and mentor data engineering teams responsible for high-scale data pipelines and measurement solutions like Streaming+ Infrastructure and the Panelist Intelligence Engine.
Own the technical roadmap, long-term planning, and resource prioritization for data engineering workstreams aligned with product goals and business efficiency.
Oversee architecture, scaling, data validation, and automation of data pipelines using technologies such as Spring Boot, ClickHouse, OpenSearch, and Logstash to ensure platform integrity and performance.
12+ years of relevant experience in data engineering and backend development.
Proven management experience leading engineering teams in an Agile environment with focus on roadmap visibility and stakeholder communication.
Strong technical proficiency in Java, Spring Boot, big data technologies (ClickHouse, ElasticSearch/OpenSearch, Spark), ETL tools (Logstash), and AWS services (Lambda, S3, EC2).
Advanced SQL skills and experience validating large, high-variability data sets and event pipelines.
Experienced leader capable of managing complex cross-functional collaborations with Product Management, Data Science, and Operations.
Skilled in strategic technology planning and implementing automation to replace manual data processing workflows.
Able to drive engineering team performance with rigorous standards on data accuracy, cloud cost optimization, and incident reduction.