Senior Data Architect to help design and architect a new Cloud data platform.
9 hours ago
Senior Data Architec t for an initial 3-month contract (possibility for extension or conversation to a permanent position) in Ottawa.
This position will require adherence to the clients hybrid model, 2 days a week on-site downtown Ottawa.
As the successful candidate you will help design and architect cutting-edge cloud data platforms, driving high-performance, scalable solutions that will enhance the organization's data management, analytics, and reporting capabilities.
Tasks Lead the architectural design and implementation of the new cloud data platform ensuring alignment with business and technical objectives. Plan and execute the migration of data including mapping schemas, optimizing data structures, and ensuring data integrity and security throughout the transition. Develop and implement strategies for data ingestion, integration, transformation, and storage Collaborate with key stakeholders across IT, data science, and business teams to gather requirements and ensure the new platform meets all needs. Establish best practices for data governance, security, and compliance, ensuring adherence to relevant regulatory requirements. Design and implement monitoring and alerting for the new data platform to ensure optimal performance and reliability. Work with engineering teams to ensure scalability, performance optimization, and cost-efficiency in the cloud environment. Provide technical leadership and mentoring to internal teams throughout the migration and beyond. Stay up to date with industry trends and best practices in data architecture, cloud computing, and big data solutions.
Must-Have Skills: 3+ years experience as a
Data Architect
with expertise in
cloud data platforms Experience in data modeling, String sets for ETL processes, and data manipulation. Proficiency in SQL, Python, or other data manipulation languages. Experience with data governance, data quality management, and ensuring data compliance.
Nice-to-Have Skills: Experience with Snowflake and/or Google BigQuery Familiarity with big data technologies (e.g., Apache Kudu, Hadoop, Spark, etc.) Familiarity with CI/CD pipelines and DevOps practices in data engineering environments. Relevant certifications (AWS, GCP)
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