Enterprise Data Architect
3 days ago
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.
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