Technical Analyst Sr

Job Description You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement. The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the new Mississauga office at 3 Robert Speck Parkway. Current work authorization for Canada is required for all openings. At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years.  We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients.  As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.  Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally. How You’ll Make an Impact: We are seeking a Senior Technical Analyst / Developer to design, develop, deploy and support machine learning, data and AI solutions. This senior hands-on role combines technical analysis, software development, data engineering, cloud deployment and production support. The successful candidate will work closely with Product Owners, Data Scientists, business teams, Architecture, Security, Cloud and Data teams to deliver reliable, secure and supportable solutions across AWS, Snowflake and Informatica Cloud. The role also provides technical guidance, code reviews and mentoring to team members. Technical Delivery Translate business and technical requirements into practical solution designs and implementation plans. Provide day-to-day technical guidance and support delivery planning, prioritization and dependency management. Review technical solutions for alignment with engineering, architecture, security and data standards. Communicate delivery progress, risks, dependencies and production issues to stakeholders. Support code reviews, knowledge sharing, mentoring and continuous improvement. Machine Learning, Data and AI Engineering Develop, deploy and support production machine learning models, analytical solutions and data pipelines. Build Python and SQL-based automation, integrations and data-processing components. Support data ingestion, transformation and processing across AWS, Snowflake and Informatica Cloud. Implement model versioning, testing, deployment, monitoring and documentation practices. Promote data quality, lineage, source-to-target mapping and clear production ownership. Support approved Generative and Agentic AI solutions, including retrieval workflows, enterprise data connections, tool integrations and monitoring. AWS DevOps and Production Operations Deploy and operate machine…