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Big Data Architect

Toronto, Ontario  - Permanent

Job Description

The Big Data Architect will be responsible for supporting relational and non-relational database, data streaming, and data analysis technologies. This person can expect to encounter challenges related to implementing new storage technologies in a high-throughput, data-driven, distributed environment.

This person will identify, develop, and implement robust and maintainable solutions that will support the needs of technology and business needs.

- Analyze existing data and develop, using domain-driven design, data models for new microservices
- Identify suitable storage technologies for each microservice
- Define data persistence requirements and backup and recovery objectives
- Work with the DevOps team to implement data storage prototypes
- Define and maintain event message data structures
- Develop and implement Big Data storage and analysis solutions to support growing needs of data analysts
- Develop and implement a business intelligence strategy incorporating EDW and online reporting tools
- Identify and analyze database performance issues and provide guidance and assistance to development teams
- Participate on cross-functional teams to complete project deliverables
- Work with other internal and third-party team members to resolve incidents and problems

Experience Needed:

- 5-7 years experience in a similar role
- Extensive experience implementing and managing NoSQL storage technologies like Mongo DB, Cassandra, Elastic, and Redis
- Experience with relational database storage technologies including MySQL, Postgres, etc.
- Experience with event streaming in Kafka or similar technologies
- Experience supporting development and QA activities
- Experience working in a fast-paced web application environment
- Experience with Postgres databases, data warehouse, ETL, and Nifi an asset
- Ability to work in a team with developers, QA testers, analysts and systems administrators
- Degree or diploma in Technology, Computer
- Knowledge of establishing Big Data

Starting: ASAP
Dress Code: Casual
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