Senior Data Architect – Cloud, AI & Data Pipelines
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- Toronto, ON
- 59,00-69,00 $ par heure
- Permanent
- Temps-plein
- Salaried: $59-69 per hour.
- Incorporated Business Rate: $70-80 per hour.
- 6-month contract with the potential for permanent employment.
- Full-time position: 37.50 hours per week.
- Remote on Monday and Friday.
- On-site Tuesday to Thursday.
- 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.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Relevant certifications in cloud architecture or data engineering are considered an asset.
- 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.