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Select how often (in days) to receive an alert: Requisition ID: 49601 Business Unit: Fitch Group Category: Information Technology Location: Toronto, ON, CA Date Posted: Mar 4, 2026 Fitch Group is currently seeking a Associate Director/Lead Data Engineer based out of our Toronto office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group''s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world''s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch''s Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cuttingedge technologies like AI and cloud solutions, were home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a ''Best Place to Work in Technology'' 3 years in a row. Whether youre an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. Want to learn more about a career in technology and data at Fitch? Visit: How You''ll Make an Impact: Lead the design and architecture of endtoend data pipelines and solutions on modern cloudbased platforms, including Snowflake, Databricks, and AWS. Build and optimize robust, scalable data orchestration workflows using Apache Airflow and implement best practices across multiple agile squads. Design and implement data solutions using PostgreSQL for relational data and MongoDB for NoSQL requirements, ensuring optimal performance and scalability. Architect and deploy containerized data applications using Docker, Kubernetes, and AWS EKS, incorporating GitHub Actions for automated deployments. Design and implement CI/CD pipelines using GitHub Actions, establish branching strategies, and ensure automated testing, code quality checks, and security scanning. Collaborate with crossfunctional teamsincluding Data Scientists, Analytics teams, and business stakeholdersto translate requirements into scalable technical solutions. Mentor and guide data engineers by promoting technical excellence, establishing coding standards, and conducting architecture reviews. Drive data platform modernization initiatives and ensure data quality, reliability, and governance across all data systems. Design and implement AIenhanced data pipelines that leverage LLMs and Agentic AI frameworks to automate data quality checks, anomaly detection, and intelligent data transformation workflows. Architect data infrastructure to support AI/ML workloads, including feature stores, vector databases, and realtime inference pipelines integrated with cloudnative services. Leverage established standards and best practices to integrate AI agents into data engineering workflows, including context management protocols (MCP) for seamless AItodataplatform communication. You May Be a Good Fit If: You have 8+ years of data engineering experience, including 3+ years in a lead role architecting largescale data platforms. You possess expertlevel proficiency in Python and Java for building cloudnative data processing solutions. You have deep handson experience with Apache Airflow, Snowflake (data warehousing, modeling, optimization), and Databricks. You have strong AWS expertise, including S3, Lambda, Glue, EMR, Kinesis, EKS, and RDS. You have production database experience with PostgreSQL (design, optimization, replication) and MongoDB (document modeling, sharding, replica sets). You have solid experience with containerization and orchestration using Docker, Kubernetes, and AWS EKS, including cluster management and autoscaling. You have proven CI/CD and GitOps experience using GitHub, GitHub Actions, and ArgoCD for automated deployments and multienvironment management. You are proficient with agile tools such as JIRA for sprint management and Confluence for technical documentation and knowledge sharing. You have excellent analytical, problemsolving, and communication skills, with the ability to explain complex concepts to nontechnical stakeholders and drive initiatives in complex environments. You have working knowledge of AI/ML frameworks (LangChain, LlamaIndex, AutoGen, etc.) and understand how Agentic AI can enhance data engineering workflows through automated data validation, intelligent orchestration, and selfhealing pipelines. You have practical understanding of AI integration patterns in data platforms, including prompt engineering, RAG architectures, and vector database implementations. You are familiar with Model Context Protocol (MCP) or similar frameworks for enabling AI agents to interact securely and efficiently with data sources, APIs, and tools. You have experience with AIpowered development tools such as GitHub Copilot and Amazon Q. What Would Make You Stand Out: Experience with code quality metrics and shiftleft principles. Experience testing container resiliency (Docker/Kubernetes). Experience building large and highperforming data pipelines. Exposure to Playwright and BDD for automated testing. Exposure to the financial industry and data platforms (data warehouses, data lakes). Experience with modern data stack tools, data mesh/fabric architectures, and streaming platforms (Kafka, Kinesis). Proficiency with observability tools (Datadog) and data quality/governance frameworks. Understanding of data security and compliance standards (GDPR, SOC 2, CCPA) and contributions to opensource data projects. Relevant certifications (AWS Data Analytics/Solutions Architect, Databricks/Snowflake Data Engineer, CKA). Handson experience building production Agentic AI systems that operate on data platforms, including multiagent orchestration and intelligent pipeline optimization. Deep expertise with Model Context Protocol (MCP) implementation, including building custom MCP servers or integration patterns for enterprise data platforms. Why Choose Fitch: Hybrid Work Environment: Onsite presence required two days per week. A Culture of Learning & Mobility: Access to dedicated training, leadership development, and mentorship programs to support continuous learning. Investing in Your Future: Retirement planning and tuition reimbursement programs to help you meet your short and longterm goals. Promoting Health & Wellbeing: Comprehensive healthcare offerings that support physical, mental, financial, social, and occupational wellbeing. Supportive Parenting Policies: Familyfriendly policies, including a generous global parental leave plan, designed to help you balance work and family life. Inclusive Work Environment: A collaborative workplace where all voices are valued, supported by Employee Resource Groups that unite and empower colleagues worldwide. Dedication to Giving Back: Paid volunteer days, matched donation programs, and ample opportunities to volunteer in your community. Fitch is committed to providing global securities markets with objective, timely, independent and forwardlooking credit opinions. To protect Fitchs credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmitive Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. For Toronto roles only: Expected base pay for this role ranges from CAD 120,000 to CAD 155,000 per year. Actual compensation will depend on factors such as education, training, experience, past performance, and other jobrelated considerations. Base pay is one component of Fitchs total compensation package, which may also include commissions, discretionary bonuses, longterm incentives, and other benefits. #J-18808-Ljbffr