As a Sr. Consultant, Data Developer, you’ll be a senior technical leader in CAM’s technology transformation, modernizing the collections, recovery and insolvency platforms that support CIBC Retail, Small Business and Simplii clients. You’ll own the end-to-end data solution for CAM, setting the technical direction and leading the design, development, testing and implementation of the CAM data layer, including ETL pipelines, an operational data store (ODS) and large-scale data migration.
Responsibilities
Define and own the target-state data architecture, design patterns and engineering standards for the CAM data layer.
Lead and contribute to the development of complex, high-volume data engineering solutions, including metadata-driven ETL pipelines.
Act as the accountable technical owner for CAM data applications, driving the roadmap, delivery planning, estimates, production stability and continuous improvement.
Lead the technical design and integration of cross-functional, multi-platform systems, including batch file and API integrations.
Own the data migration strategy and approach, including mapping, profiling, transformation, reconciliation, mock conversions, cutover and post-implementation verification.
Design, develop, and maintain data integration systems that collect, transform, and load raw data from various sources into centralized warehouses for analysis.
Responsibilities
Build and maintain data pipelines to move data from source systems to warehouses
Develop semantic models, complex SQL queries, and data sets for performance and accuracy
Collaborate with Cloud Architects, Reporting Team and stakeholders to translate requirements into technical solutions
Requirements
Bachelor’s degree in a Computer Science related field or equivalent work experience
Lead the technical architecture for migrating legacy OSS/network data into NTAS, including source-system assessment, canonical/target data modeling, source-to-target mappings, transformation rules, ETL design, migration sequencing, reconciliation, performance, cutover and production validation.
Compensation
Estimated annual compensation range for candidates based in the below location will be as follows: Basking Ridge, NJ: $112725 to $146543
Responsibilities
Create business requirement documents covering functional and non-functional requirements, basis information gathered as part of workshops and interviews with client stakeholders
Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable
Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements
Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow
Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts
Requirements
Bachelor’s degree or foreign equivalent required from an accredited institution
The Data Migration Architect will own the technical architecture for migrating legacy OSS/network data into NTAS, including source-system assessment, canonical/target data modeling, source-to-target mappings, transformation rules, ETL design, migration sequencing, reconciliation, performance, cutover and production validation.
Compensation
Estimated annual compensation range for candidates based in the below location will be as follows: Basking Ridge, NJ: $ 112,725 to $ 146,543
Responsibilities
Create business requirement documents covering functional and non-functional requirements
Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable
Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements
Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow
Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts
Requirements
Bachelor’s degree or foreign equivalent from an accredited institution
Design, build, and optimize the data pipelines and analytical solutions that power Zoom’s Online business, including billing, checkout, growth, and revenue analytics.
Locations (2)
Seattle, Washington, United States
San Jose, California, United States
Compensation
$98,900.00 - $228,700.00
Responsibilities
Design and implement scalable ETL workflows and data pipelines that transform raw data into structured, analytics-ready formats, with automated validation checks and monitoring to ensure ongoing quality and reliability.
Build analytical datasets from clickstream, user interaction, and product usage events to support web analytics, feature adoption analysis, and user journey insights.
Establish and maintain data governance practices, including data definitions, lineage, ownership documentation, and access controls for sensitive data, in collaboration with cross-functional stakeholders.
Implement automated data quality frameworks covering accuracy, completeness, consistency, and freshness, and establish alerting to identify and resolve data issues proactively.
Optimize pipeline performance and database efficiency through query tuning, indexing strategies, caching configurations, and model accuracy evaluation for large-scale structured and unstructured data.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
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