Our client is seeking a 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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