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.
Day-to-day responsibilities:
Design and build organizational data infrastructure/architecture
Partner with business leaders and domain owners to translate strategic priorities into data architecture capabilities
Provide insights into the changing database/datalake storage and utilization requirements for the company and offer suggestions for solutions
Establish standards for data platforms, integrations, analytics, and AI enablement
Analyze database/datalake implementation methods to make sure they are in line with company policies and any external regulations that may apply
Assist with organizational decisions on data infrastructure and architecture on an ongoing basis and make decisions on data strategy
Act as a trusted advisor on how data architecture enables revenue, efficiency and risk reduction, and advise leadership on data investment decisions
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 across the Data & AI practice
- 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 and metadata tools
Excellent communication skills
Ability to work with an international team
Experience building data lakes preferred
Experience building data products preferred
Team leadership and stakeholder management
Understanding of Databricks, Docker, Kubernetes, or Azure Functions
Strategic thinker and strong execution orientation
Ability to work in cross-functional teams
Attention to detail and data quality
Essential traits:
- 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 and metadata tools
Excellent communication skills
Ability to work with an international team
Experience building data lakes preferred
Experience building data products preferred
Team leadership and stakeholder management
Understanding of Databricks, Docker, Kubernetes, or Azure Functions
Strategic thinker and strong execution orientation
Ability to work in cross-functional teams
Attention to detail and data quality
About Kroll
Join the global leader in risk and financial advisory solutions—Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore and maximize our clients’ value? Your journey begins with Kroll.
In order to be considered for a position, you must formally apply via careers.kroll.com.
Kroll is committed to equal opportunity and diversity, and recruits people based on merit.
The current salary range for this position is $80,000 to $130,000 CAD
