Data Architect

Kroll • Toronto, ON

6d

About The Position

Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. We are seeking a high-performing Data Architect to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role is for candidates who want real engineering responsibility, not shadow work. You will design and implement production-grade data pipelines, work with cloud-native tooling, and partner with senior engineers and data scientists on systems that matter. At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.

Requirements

• 3+ years of experience in data platform architecture, analytics, or AI/ML
• Experience translating business requirements into technical design documents
• Experience architecting and securing big data solutions
• Experience with Azure
• Experience with Python and SQL
• Understanding of data movement and ETL
• Understanding of data governance issues
• Excellent communication skills
• Ability to work with an international team

Nice To Haves

• Experience building data lakes
• Experience building data products
• Team leadership and stakeholder management
• Understanding of Databricks, Docker, Kubernetes, or Azure Functions

Responsibilities

• Design and build organizational data infrastructure/architecture
• Provide insights into the changing database/datalake storage and utilization requirements for the company and offer suggestions for solutions
• Analyze database/datalake implementation methods to make sure they are in line with company policies and any external regulations that may apply
• Assisting with organizational decisions on data infrastructure and architecture on an ongoing basis and make decisions on data strategy
• Oversee the migration of data from legacy systems to new solutions
• Apply architectural principles, product-specific guidelines, security standards, usability design standards, as appropriate
• Influence decision-making across multiple stakeholders and guide engineering teams in resolving complex technical challenges
• Drive expansion of analytics and AI services by embedding scalable design patterns into every engagement
• Contribute thought leadership, reusable assets, and frameworks to scale pre-sales effectiveness across the Data & AI practice

Benefits

• Work on real systems in production, not toy problems
• Learn how enterprise-scale data platforms are designed, operated, and evolved
• Direct mentorship from senior engineers and data leaders
• Meaningful impact on firm-wide analytics and automation initiatives
• A high-bar engineering environment focused on quality, scale, and long-term thinking

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed