About the role
- As a Senior Data Engineer, you will manage the “discovery-to-scale” pipeline, identifying recurring patterns in the field and handing off validated solutions to Platform Engineers for enterprise generalization
- In this forward-deployed role, you will bridge the gap between building technical products and solving real-world business problems through rapid solution delivery and deep domain immersion
- Your primary objective is to design and build data integration, storage systems, and infrastructure that enable analytics and AI capabilities
- This role requires high-level autonomy, where you will define your own direction within strategic goals, influence multiple teams, and navigate high complexity and ambiguity to deliver tangible business results- Full-Stack Solution Delivery: Capability to rapidly prototype and build complete, end-to-end data applications across diverse technology stacks, prioritizing solution speed and business value while effectively managing technical debt
- Experience & Education: Bachelor’s degree in Computer Science or Engineering with 8–12 years of relevant experience leading and delivering complex data engineering projects with multi-team or business impact
- Advanced Data Modeling: Strong skills in conceptual, logical, and physical data modeling, with the ability to balance data normalization, query performance, and safely manage complex schema migrations in production
- Cloud-Native Data Ecosystems: Deep expertise in deploying and managing data infrastructure on cloud platforms (AWS, Azure, or GCP). Proficient in Infrastructure as Code (Terraform/CloudFormation) and establishing end-to-end CI/CD pipelines for data solutions
- System Reliability & Resilience (SRE): Direct experience defining and monitoring service level objectives (SLOs/SLIs). A track record of designing highly resilient data systems that ensure graceful degradation and driving post-incident improvements
- Enterprise Data Integration & Architecture: Proven expertise in designing, building, and maintaining robust, scalable data pipelines (ETL/ELT). Must demonstrate the ability to navigate complex enterprise data landscapes, effectively handle undocumented schemas, and implement resilient integration solutions for high-volume data
- Architectural Leadership: Ability to make sound architectural trade-offs, design scalable system components, and produce high-quality, well-tested code that adheres to enterprise standards
- AI/MLOps Readiness: Mastery of incorporating AI tools to optimize data engineering workflows and the ability to design data validation and evaluation frameworks that support the deployment and governance of AI/ML models
- Systems Thinker: You map complex system interactions across technical and business domains, anticipating cascading effects and understanding how technology changes impact operations
- Curious Explorer: You seek out ambiguity rather than avoiding it, driving team curiosity through challenging questions and creating an environment that encourages experimentation
- Precise Communicator: You translate seamlessly between technical and business language, ensuring requirements are clear enough to enable AI generation and facilitate productive discussions with stakeholders
- Outcome Owner: You drive an accountability culture focused on business impact rather than just deliverables, owning relationships and making trade-offs between custom solutions and generalizable work
- Polymath Oriented: You bridge gaps between engineering, design, business, and science, rapidly immersing yourself in new domains to speak the language of the business
- Problem Discoverer: You embed with users to discover latent needs, turning ambiguity into clear problem statements rather than waiting for defined tasks
Not the right fit? Search for Data Engineer jobs in Toronto
About Appnovation
IT Services and IT Consulting
201-500
Appnovation is a global, full-service digital partner that combines bold ambition with practical action to create customer-first digital solutions. We build purposeful digital solutions that deliver real impact today and serve as strong foundations for future growth.
Appnovation supports every phase of the digital journey, with blended services that span across Strategy, Creative & Experience Design, AI & Data, Technology & Platform Development, Managed Services and Corporate Agility.
We’re an award-winning team dedicated to building better lives through better digital.
Learn more at appnovation.com.
#InspiringPossibility
Similar Jobs
About the role
- As a Senior Data Engineer, you will manage the “discovery-to-scale” pipeline, identifying recurring patterns in the field and handing off validated solutions to Platform Engineers for enterprise generalization
- In this forward-deployed role, you will bridge the gap between building technical products and solving real-world business problems through rapid solution delivery and deep domain immersion
- Your primary objective is to design and build data integration, storage systems, and infrastructure that enable analytics and AI capabilities
- This role requires high-level autonomy, where you will define your own direction within strategic goals, influence multiple teams, and navigate high complexity and ambiguity to deliver tangible business results- Full-Stack Solution Delivery: Capability to rapidly prototype and build complete, end-to-end data applications across diverse technology stacks, prioritizing solution speed and business value while effectively managing technical debt
- Experience & Education: Bachelor’s degree in Computer Science or Engineering with 8–12 years of relevant experience leading and delivering complex data engineering projects with multi-team or business impact
- Advanced Data Modeling: Strong skills in conceptual, logical, and physical data modeling, with the ability to balance data normalization, query performance, and safely manage complex schema migrations in production
- Cloud-Native Data Ecosystems: Deep expertise in deploying and managing data infrastructure on cloud platforms (AWS, Azure, or GCP). Proficient in Infrastructure as Code (Terraform/CloudFormation) and establishing end-to-end CI/CD pipelines for data solutions
- System Reliability & Resilience (SRE): Direct experience defining and monitoring service level objectives (SLOs/SLIs). A track record of designing highly resilient data systems that ensure graceful degradation and driving post-incident improvements
- Enterprise Data Integration & Architecture: Proven expertise in designing, building, and maintaining robust, scalable data pipelines (ETL/ELT). Must demonstrate the ability to navigate complex enterprise data landscapes, effectively handle undocumented schemas, and implement resilient integration solutions for high-volume data
- Architectural Leadership: Ability to make sound architectural trade-offs, design scalable system components, and produce high-quality, well-tested code that adheres to enterprise standards
- AI/MLOps Readiness: Mastery of incorporating AI tools to optimize data engineering workflows and the ability to design data validation and evaluation frameworks that support the deployment and governance of AI/ML models
- Systems Thinker: You map complex system interactions across technical and business domains, anticipating cascading effects and understanding how technology changes impact operations
- Curious Explorer: You seek out ambiguity rather than avoiding it, driving team curiosity through challenging questions and creating an environment that encourages experimentation
- Precise Communicator: You translate seamlessly between technical and business language, ensuring requirements are clear enough to enable AI generation and facilitate productive discussions with stakeholders
- Outcome Owner: You drive an accountability culture focused on business impact rather than just deliverables, owning relationships and making trade-offs between custom solutions and generalizable work
- Polymath Oriented: You bridge gaps between engineering, design, business, and science, rapidly immersing yourself in new domains to speak the language of the business
- Problem Discoverer: You embed with users to discover latent needs, turning ambiguity into clear problem statements rather than waiting for defined tasks
Not the right fit? Search for Data Engineer jobs in Toronto
About Appnovation
IT Services and IT Consulting
201-500
Appnovation is a global, full-service digital partner that combines bold ambition with practical action to create customer-first digital solutions. We build purposeful digital solutions that deliver real impact today and serve as strong foundations for future growth.
Appnovation supports every phase of the digital journey, with blended services that span across Strategy, Creative & Experience Design, AI & Data, Technology & Platform Development, Managed Services and Corporate Agility.
We’re an award-winning team dedicated to building better lives through better digital.
Learn more at appnovation.com.
#InspiringPossibility