Data Architect Jobs

About The Position

Requirements

• Bachelor’s degree in computer science, in an analytical discipline or equivalent experience.
• Minimum of 2 to 5 years of Information Services / Information Technology architecture experience.
• 10 years of experience in full life cycle solution design using object-oriented analysis and design techniques, preferably in a medium-to-large enterprise environment.
• Ability to influence across and lead changes in a complex enterprise.
• Experience in comprehensive modeling for applications, services, systems, and data with approaches in component-based, service-oriented, model-driven manner.
• Expert knowledge and experience with designing and delivering solutions that factor in system performance, usability, quality, cross-system interdependence, scalability and overall cost to develop and maintain.
• Solid understanding of current Enterprise Architecture frameworks.
• Sound knowledge and experience with design patterns, service-oriented architecture, solution frameworks, technical patterns and technical services.
• Ability to balance the long-term ("big picture") and short-term implications of individual decisions and drive actions that are consistent with long-term goals.
• Strong business sense with the ability to translate complex business requirements into technology solutions.
• Excellent communication, analytical, and problem-solving skills with ability to manage multiple priorities. Ability to lead others to embrace, perform effectively, and adapt quickly to change.
• Ability to make excellent and well justified decisions in complex and high-pressure situations and coach others in decision making.
• Experience implementing, configuring and integrating enterprise commercial off-the-shelf software.

Nice To Haves

• Knowledge of MLOps tools (MLflow, SageMaker Pipelines, feature stores) is an asset.
• Knowledge and experience in the insurance industry is considered an asset.

Responsibilities

• Develop and maintain current state architecture models and artifacts including the four key domains of architecture: Business, Application, Data, and Technology.
• Design and optimize AWS-native solutions including data lakes, MLOps pipelines, automation, and CI/CD.
• Define and maintain hub standards, guardrails, and governance for analytics capabilities.
• Support spoke teams with onboarding, architecture reviews, and reusable templates.
• Enable Responsible AI practices (explainability, fairness, compliance) and regulatory compliance for data and AI solutions (privacy, security, auditability).
• Partner with business and technical teams to embed analytics services into products and workflows.
• Gather solution architecture requirements from various sources including interviewing business and IT stakeholders, established architecture standards and principles, and reference architecture.
• Provide architectural leadership and guidance throughout solution design and implementation, ensuring best practices, reuse of components, and alignment with target architecture.
• Ensure architectural compliance of solutions to enterprise architecture standards and principles.
• Participate and provide architectural guidance in the construction, modeling, and design of prototypes, proofs of concept and working models of complex or new design elements.
• Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, etc.
• Create and maintain system and architecture design standards and provide guidance to project teams regarding guiding principles, system and application design, coding and design standards.
• Develop solution architecture roadmaps based on organizational business units objectives and strategies.
• Perform other duties as assigned.

Benefits

• annual bonus plan
• leave of absence top-up programs
• generous vacation time
• personal days
• premium free benefits
• pension plan