About the role

Technical Lead overseeing data engineers, analysts, and architects to implement data solutions. Leading modernization of data infrastructures for diverse business objectives.

Responsibilities

Supervise team activities including work scheduling, technical direction, and standard development practices;
Assist in the delivery of cloud-based data warehouse, lake, and mart solutions
Understand data landscape i.e. tooling, tech stack, source systems etc. and work closely with client technology teams to improve data collection, quality, reporting and analytics capabilities
Design, document, and implement data warehouse strategies, including building ETL, ELT, and Data Pipeline processes
Develop processes for loading and transforming of large volumes of structured and semi-structured data
Responsible for data architecture, data modeling and data governance to implement high-performance, highly secure solutions
Participate in data warehouse development by defining metadata and security standards
Perform a variety of tasks to facilitate completion of projects including but not limited to coordinating communication with outside departments, writing documentation and specifications, testing, and consulting
Mentor less experienced team members
Support pre-sales and solution engineering activities

10+ years experience in data warehouse, data modeling, ETL, BI projects
5+ years experience working in client-facing, consulting role
3+ years hands-on experience with Snowflake cloud data warehouse
3+ years hands-on experience in python development and ETL tools (Matillion, Talend, etc)
3+ years experience leading technical team of data engineers and architects
Completed cloud warehouse projects in at least 2 of AWS, Azure, GCP cloud technologies
Maintain and achieve technical cloud certifications (AWS, Azure, or Snowflake)
Ability to work and communicate with both business and technical experts
College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree