Senior Data Architect – Cloud, AI & Data Pipelines

Recrute Action • Toronto, ON

23d • CA$59 - CA$80 • Hybrid

About The Position

Innovative opportunity in the insurance sector for a data architecture expert to design scalable cloud-based solutions, lead workflow management initiatives, and drive AI-enabled data processing. This role offers exposure to modern data platforms, cross-functional leadership, and high-impact projects in a dynamic environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in data architecture, solutions architecture, or a similar role within insurance or financial services.
• Strong expertise in data processing platforms, cloud technologies such as AWS, Azure, or Google Cloud, and big data frameworks including Hadoop and Spark.
• Experience working with machine learning and artificial intelligence technologies.
• Familiarity with intelligent data processing tools and data governance practices within regulated environments.
• Demonstrated ability to manage multiple projects simultaneously with strong organizational skills.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.

Nice To Haves

• Relevant certifications in cloud architecture or data engineering are considered an asset.

Responsibilities

• Lead the design and development of scalable, secure, and robust data processing solutions aligned with enterprise architecture strategies.
• Oversee workflow management projects from initiation to completion, ensuring delivery within scope, timeline, and quality expectations.
• Collaborate with cross-functional teams including data scientists, engineers, and business analysts to deliver integrated solutions.
• Provide technical leadership and mentorship to support innovation and team development.
• Evaluate emerging technologies in data processing, machine learning, and AI, and recommend enhancements to existing capabilities.
• Drive the implementation of efficient data pipelines and workflows for data ingestion, transformation, and analysis.
• Ensure all data processes comply with regulatory requirements, industry standards, and internal governance policies.
• Maintain detailed documentation of architectures, project plans, and technical specifications, and report on performance metrics to stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level