Looking for Data Modeller

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.

Our challenge

As Principal Consultant, Agentic AI Cybersecurity Engineer Candidate will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and advance the agentic AI systems that find, exploit, and remediate vulnerabilities end-to-end across our application and infrastructure estate. Operating at a principal engineer level, candidate will personally direct frontier AI models do discover vulnerabilities in production code, develop proof-of-concept exploits, generate and validate fixes, and integrate them into CI/CD pipelines with safe human-in-the-loop controls. Candidate will also build reusable AI skills, prompts, and tooling that make agentic vulnerability management efficient and scalable across the estate. Candidate will bring deep dual expertise across offensive and defensive security, penetration testing, and software engineering, and apply that fluency to push the boundaries of what is possible with agentic AI in a regulated enterprise environment.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $130k – CAD $140k/year & benefits (see below).

Key Responsibilities:

• Design and develop conceptual, logical, and physical data models
• Collaborate with stakeholders to understand data requirements
• Ensure data integrity, quality, and consistency across systems
• Optimize database structures for performance and scalability
• Support data warehousing, ETL, and reporting initiatives
• Maintain and document data models, standards, and best practices

Required Skills:

• 6+ years of experience in data modeling and database design
• Strong expertise in ER modeling, normalization, and schema design
• Hands-on experience with SQL and databases (Oracle, SQL Server, PostgreSQL, etc.)
• Familiarity with data warehousing concepts (Kimball/Inmon)
• Experience with modeling tools (ERwin, PowerDesigner, etc.)
• Understanding of ETL processes and data integration

Good to Have:

• Exposure to cloud platforms (AWS/Azure/GCP)
• Knowledge of Big Data technologies (Hadoop, Spark)
• Experience in BI/reporting tools

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.