Lead the design and development of data warehouse and business analytics solutions to ensure scalable and reliable data infrastructure
Collaborate with cross-functional teams to analyze and architect data solutions that meet business requirements
Research and recommend technical approaches to address complex data migration, development, and integration challenges
Provide hands-on leadership in data implementation projects and manage independent workstreams to deliver project objectives
Facilitate workshops and design sessions to build relationships and align data engineering efforts with organizational goals
Mentor data engineers to develop their skills in data architecture and engineering practices
Also responsible for other duties/projects as assigned by business management as needed

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
Acceptable areas of study include Mathematics, Computer Science, Engineering, Finance, Statistics, or related technical field
7-10 years Related experience
5+ years developing cloud solutions using data services
Minimum 3+ years of managing data engineering teams
Experience designing and building self-service analytics and big data solutions using cloud technologies (e.g., EMR, Aurora, Redshift, Glue, S3, SWF, Quicksight etc.)
Leading/coaching senior engineers and/or managers
Experience with the Software development Life Cycle (SDLC) and Agile/Scrum methods
Knowledge, Skills and Abilities: Demonstrated ability to manage global projects or programs including work prioritization, planning, and coordination

Principal Engineer, Data

Key skills