Proven ability to hire & manage a high performing team. Strong organizational thinking.
Experience building healthy cross functional partnerships with data producers & consumers. Ability to influence peer teams to adopt best practices when & where needed.
Delivering trusted, timely, cost efficient, & performant central datasets & instrumentation answering business critical needs.
Staying up to date with emerging technologies, best practices, and industry trends in data engineering and software development.
Mentor and provide guidance to junior managers & engineers, fostering their technical growth and professional development.
Your Expertise:
Proven track record of a minimum of 5 years in management, in a space with strong focus on large scale data processing and instrumentation.
Strong familiarity with Kafka, Flink, Spark, Hadoop, Iceberg, Airflow S3, Data Modeling, relational databases, columnar databases, & data serialization formats (e.g. Avro, Thrift, & Protobuf).
Previous working experience in large scale distributed systems.
Strong familiarity with software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
Strong working knowledge of engineering best practices & big data ecosystem..
Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.