Title: Enterprise Data Architect

Location: Markham, ON (Hybrid)

Contract

Key Responsibilities:

Enterprise Architecture & Data Strategy:

• Lead the creation and execution of data architecture strategies aligned with business goals and requirements.
• Collaborate with stakeholders across the organization to understand data needs and develop end-to-end solutions.
• Ensure scalable, secure, and sustainable data architecture while optimizing data flow and storage strategies.

Data Platform & Lifecycle Management:

• Design, implement, and manage enterprise data platforms with a focus on modern data practices and cloud computing.
• Oversee the data lifecycle management processes, ensuring data quality, retention, security, and governance.
• Guide the adoption of the medallion architecture pattern for structured and organized data pipelines.

Data Product Management:

• Champion the concept of Data as a Product , ensuring that data products are well-defined, maintainable, and provide value to the business.
• Facilitate the transformation of raw data into actionable insights and ready-to-use products for data consumers.

Cloud & Modern Development Practices:

• Leverage cloud technologies to build scalable and high-performance data solutions.
• Drive best practices in modern development methodologies, including CI/CD and Agile practices, to enhance data product delivery.

Legacy to Modern Platform Migration:

• Lead the efforts to convert legacy systems and data policies to modern data platforms while minimizing disruption to existing business processes.
• Oversee data migration strategies to ensure seamless transitions and the integration of legacy systems with cloud-based architectures.

Data Science & MLOps:

• Collaborate with data science teams to support the development, deployment, and operationalization of machine learning models.
• Provide guidance on Data Science Machine Learning (DSML) platforms and MLOps practices to streamline model development and lifecycle management.

Required Skills and Qualifications:

• Proven experience in Enterprise Architecture with a focus on data platforms, data governance, and cloud technologies.
• Strong expertise in data lifecycle management , including data modeling , data retention , and data governance principles.
• Solid understanding of the Medallion Architecture pattern and its application in large-scale data systems.
• In-depth knowledge of Data as a Product concepts and ability to translate business requirements into tangible data solutions.
• Expertise in modern cloud platforms (AWS, Azure, GCP) and cloud-native development practices.
• Extensive experience with data science platforms , machine learning operations (MLOps) , and facilitating the integration of data science models into production environments.
• Proficient in designing solutions that convert legacy data systems to modern data architectures.
• Strong communication and leadership skills to work effectively with cross-functional teams and business leaders.
• Experience with data integration, ETL processes, and data warehousing concepts.

Preferred Qualifications:

• Certification in cloud platforms (AWS Certified Solutions Architect, Azure Architect, etc.)
• Experience with modern data engineering tools and platforms such as Apache Kafka, Spark, or Databricks.
• Familiarity with data privacy and compliance frameworks such as GDPR, CCPA, and HIPAA.