Lead technical contributor responsible for designing, building, and maintaining data pipelines and analytics solutions in a secure, scalable, and cloud-native environment.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Architect and oversee the design of complex data solutions
Guide the evolution of logical and physical data models
Build and manage end-to-end cloud-native data pipelines in AWS
Build analytical systems from the ground up
Work across the Service Delivery Lifecycle on engineering enhancements and maintenance
Lead client and/or project teams through the analysis and documentation of business problems, high-level objectives and technical constraints to define solutions that support client strategic direction and goals.
Locations (2)
Canada
United States
Compensation
We offer a competitive salary (commensurate with skills and experience).
Responsibilities
Lead client and/or project teams through the analysis and documentation of business problems, high-level objectives and technical constraints to define solutions that support client strategic direction and goals.
Conduct assessments of existing infrastructure and technology capabilities to identify potential challenges and risks to and incorporate into proposed solutions and alignment with architecture vision.
Lead the design and implementation of technology solutions, considering scalability, security, performance, applied AI, and cost optimization aspects.
Develop detailed technical specifications, architectural diagrams, and implementation plans to guide the implementation and deployment of solutions.
U
Staff Software Engineer – AI Platform & Agentic Workflows
The role involves troubleshooting AWS serverless services, managing AWS infrastructure using IaC, understanding AWS networking, and working with CI/CD concepts.
Responsibilities
Troubleshooting AWS Serverless services such as Lambda, API Gateway, ECS, RDS, DynamoDB, SNS, SQS, Cognito, Service Catalog, IAM, VPC, CloudWatch, Event Bridge, and S3
Managing AWS Infrastructure including VPC, EC2, S3, Lambda, NACL, Security Group, and networking
Implementing Infrastructure-as-Code using AWS CDK
AWS infrastructure knowledge of VPC, EC2, S3, Lambda, NACL, Security Group, and networking
Writing and understanding Infrastructure-as-Code (IaC) using AWS CDK
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.
Responsibilities
Create business intelligence from data
Deliver agile, highly interactive reporting and analytics
Provide expert-level guidance on architecture best practices and recommend appropriate services and tools based on business and technical requirements.
Requirements
Bachelor's degree or recognized certificate in Computer Science, Information Technology, or a related field.
Lead Data Software EngineerJPMC Candidate Experience page · New York, US
Snowflake AdminZENITH INFOTEK LLC · Markham, Canada