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