Senior Technical Analyst, Data

Closing Date (MM/DD/YYYY): 09/01/2026 Worker Type: Permanent Language(s) Required: English Term Duration (in months): Salary Range (plus eligible to receive a performance based incentive, applicable to position) : $107,780 - $145,820 Why FCC? At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide. Here’s what you can expect when you join our team: * Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs * Purpose-driven work: We build strong relationships, share knowledge and support the people who feed the world * Growth: Learning and development opportunities to help you thrive * Hybrid work options . How you’ll make an impact As a Senior Technical Analyst, Data, you’ll help strengthen FCC’s data engineering capability by supporting the systems, pipelines and integrations that move trusted information across the organization. Your work will help teams turn business needs into reliable data solutions, improve how data is accessed and used, and support better decision-making through stable, scalable and well-designed technology. Working closely with data engineers, data architects, product teams and business stakeholders, you’ll analyze requirements, translate them into technical specifications and contribute to solutions involving SQL, ETL, data warehousing, batch processing and cloud-based data services. You’ll bring structure to complex problems, support production data pipelines, troubleshoot issues and help ensure data solutions are reliable, supportable and aligned to FCC’s evolving technology environment. If you bring strong technical analysis, communication, problem-solving and continuous improvement skills, and you’re interested in a role that blends hands-on data work with collaboration and informal technical leadership, this could be the role for you. What you’ll do * Analyze business and technical requirements and translate them into clear specifications that support data solution design, development and implementation * Support data engineers, data developers and data architects by contributing technical analysis to data-related work items, user stories and delivery priorities * Design, build, monitor and support data pipelines, integrations and batch processing solutions that improve the reliability and usability of enterprise data * Troubleshoot complex data issues, identify root causes and recommend practical solutions that support stable production systems and effective decision-making * Help improve tools, standards and practices in an Agile, fast-paced IT environment, with a focus on automation, process improvement and long-term supportability * Collaborate with product teams, architects, vendors and stakeholders to support technology evolution, resolve architectural concerns and improve data solution outcomes * Provide informal technical leadership by sharing knowledge, supporting peers and contributing to stronger data engineering practices across the team Required qualifications: * A bachelor’s degree in computer science or business * Minimum six years of experience in technology enablement (or an equivalent combination of education and experience) * Demonstrated expertise in data engineering, data warehousing, ETL/ELT processes and data integration concepts * Hands-on experience with AWS data and analytics services such as Glue, Redshift, Lambda, S3, Step Functions and QuickSight * Experience troubleshooting, monitoring and supporting production data pipelines and cloud-based solutions * Proven ability to identify root causes, resolve complex technical issues and drive continuous improvement initiatives * Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders Preferred qualifications: * AWS certification(s) such as AWS Certified Solutions Architect, AWS Certified Data Engineer, AWS Certified Developer, or equivalent * Experience designing and implementing cloud-native data architectures and modern analytics solutions * Knowledge of DataOps, DevOps, CI/CD pipelines, infrastructure as code and automation frameworks * Experience building reporting and visualization solutions using QuickSight, Power BI or similar technologies * Knowledge of AI, machine learning, predictive analytics or intelligent automation solutions * Experience supporting enterprise-scale data platforms serving multiple business units and stakeholders * Experience developing standards, governance processes and technical best practices for data teams Not sure you meet every requirement? We encourage you to apply anyway. You belong here At FCC, we’re committed to creating an inclusive, equitable and accessible workplace – one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we’re dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives. We encourage qualified applicants to apply, including members of these four employment equity groups: • Indigenous Peoples • Members of visible minority groups • Persons with disabilities • Women Accessibility and accommodations To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: [email protected] [[email protected]]. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.

You will design, build, and support data pipelines and integrations to ensure reliable information flow across the organization. Additionally, you will collaborate with stakeholders to translate business requirements into technical specifications and provide informal leadership to improve data engineering practices.

The role requires a bachelor's degree in computer science or business and at least six years of experience in technology enablement. Candidates must demonstrate expertise in data engineering, ETL processes, and AWS cloud services, along with strong problem-solving and communication skills.

• Competitive total rewards packages • Performance-based salary and incentive programs • Flexible and comprehensive group benefit and savings plans • Well-being support • Learning and development opportunities

• SQLSouhaitée
• Résolution de problèmesSouhaitée
• CommunicationSouhaitée
• AgileSouhaitée
• Amazon Web ServicesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data engineering
• Data warehousing
• ETL
• SQL
• AWS
• Data pipelines
• Cloud-based data services
• Technical analysis
• Problem-solving
• Communication
• Continuous improvement
• Data integration
• Troubleshooting
• Technical leadership
• Agile
• Employment Equity
• Cloud-Native Computing
• Pipelines
• AWS Certified Solutions Architect
• Solution Design
• Technical Issues
• CI/CD
• Intelligent Automation
• AWS Certified Developer
• DataOps
• Technical Requirements
• Technical Leadership
• Infrastructure as Code (IaC)
• Agile Methodology
• Agriculture
• Artificial Intelligence
• Amazon Web Services
• Automation
• Batch Processing
• Management
• Technical Analysis
• Decision Making
• Computer Science
• Continuous Improvement Process
• Data Engineering
• Data Integration
• Extract Transform Load (ETL)
• Data Warehousing
• DevOps
• English Language
• Governance
• Scalability
• Problem Solving
• Machine Learning
• Operational Databases

• Data & Analytics
• Technology
• Software
• Government & Public Sector
• Agriculture
• Technical Data Analyst
• Technical Consultant / Analyst
• Systems Analysts
• Computer Systems Analysts

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

2 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine