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
Requirements
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
Benefits
Fully employer paid health and dental benefits
Hybrid work location (remote and/or office option available)
Data Engineer at Motive delivering data infrastructure for the AI era. Collaborating with stakeholders, building models, and implementing innovative tooling.
Data Architect designing and governing data foundations for analytics and AI applications at Clio. Collaborating cross - functionally to develop high - quality data models and standards.
IAM/Data Engineer role in Toronto (Hybrid). Requires 4+ years in ETL, data pipelines, cloud platforms, and skills in Windows IAM, Ansible, Terraform, SQL, Python/Java, Spark/Kafka.
Data Migration Specialist managing client data migrations to gaiia's platform. Collaborating with teams to ensure accurate and timely data transitions.
Senior Data Architect/Strategist at Robots & Pencils blending advanced data knowledge with problem solving to drive intelligent products and smarter business decisions.
Principal Data Architect at PointClickCare ensuring coherent and scalable data architecture. Driving unified data direction while collaborating with Engineering Architecture team for AI enablement.
Senior Data Engineer developing the data management layer for a financial brokerage platform with scalability for larger customers. Collaborating with teams in a fully remote, diverse environment.
Data Engineer joining a consulting firm in Toronto with world - class team of engineers. Producing high quality data tools and pipelines while collaborating with leading companies.
Director of Data Engineering & AI Strategy driving Google Marketing Platform capabilities for global marketing partner Incubeta. Hands - on technical leadership at the intersection of ad tech and media.
Data Engineer at Alberta Blue Cross designing and implementing data solutions for business analytics. Collaborating on data pipelines and analytics projects in a hybrid work environment.