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Global Head of Data
Confirmed live in the last 24 hours
Locations
Remote • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Spark
AWS
Apache Kafka
Google Cloud Platform
Hadoop
Redshift
SCRUM
Snowflake
Tableau
Apache Flink
Looker
Requirements
  • Ability to collaborate with cross-functional teams to define priorities and develop roadmaps
  • 10+ years in Software Engineering, with 5+ years building and leading teams
  • Deep experience with data engineering, big data and analytical technologies using cloud-based data platforms
  • Expertise in SDLC (systems development life cycle) / Iterative / Agile / Scrum development
  • Strong leadership skills to move the team through a major change, initiative to drive change forward and identify solutions to potential obstacles
  • Prior experience with Data Warehouse or Data Lake solutions similar to Snowflake/Redshift, Cloud environments similar to AWS/GCP, Big Data solutions similar to Hadoop/Spark, Realtime Streaming solutions similar to Kafka/Flink
  • Knowledge of advanced visualization tools such as Tableau, Superset and Looker
  • BS/MS in Engineering, Computer Science or related field
Responsibilities
  • Collaborate with various business function teams and the data engineering team to build high quality, performant solutions that ensure stakeholder groups have access to the data they need
  • Define a set of standard technologies & tools for the data platform, and drive the adoption, implementation, and ongoing sustaining of the data platform
  • Evaluate and make the call on technical solutions, architecture, and platforms
  • Evolve data management practices including Data Modeling, ETL practices, Aggregation patterns, and Data warehousing principles
  • Execute the vision, goals, priorities and work alongside the team to accomplish them. Ensure high-quality technical solutions and skill development
  • Develop an organizational structure and operating model in which the engineers thrive in cross-functional teams (with analysts, data scientists, etc)
  • Lead strategic planning, roadmap development, and operational planning for your teams
  • Build and manage a team of talented data engineers and analysts
  • Implement backend data pipelines for manipulating and managing big data
  • Improve existing data pipelines in terms of scalability and efficiency
Paxos

201-500 employees