NOTE: Flexible (Hybrid)- Required to be in the office as needed.

Must Have

Technical Proficiency (3+ years experience)

• Ability to develop, construct, maintain, and manage data pipelines.
• Proficiency in languages such as Python, Java, or Scala, and experience with technologies like Hadoop, Spark, or Kafka.
• Expertise transforming raw data into useful formats and ensuring data quality.
• Ability to monitor and optimize the performance of data systems.

Data Architecture and Storage Solutions (3+ years experience)

• Expertise in designing, constructing, maintaining, and troubleshooting data architectures.
• Experience with various data storage technologies and solutions, such as SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Experience in integrating data from multiple sources, including external databases and APIs.
• Ability to design systems that can handle large-scale data efficiently.

Collaboration and Communication (3+ years experience)

• Ability to work closely with data scientists, analysts, and other stakeholders to understand and address their data needs.
• Strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders.
• Experience working in cross-functional teams and contributing to collaborative projects.
• Ability to troubleshoot issues and provide solutions in a collaborative environment.

Description

• Responsibilities Develops, recommends, implements and manages the technical architecture (hardware, software, database and communications) which will be used for all or specific applications in a large, distributed cross-platform environment. Responsibilities also include the identification of relevant information and the determination of the environment, which will be used for development. General Skills Leadership experience in the development and implementation of technical architectures at the specified experience level Extensive experience with at least three different platforms, operating systems, environments, database technologies, and communications protocols Experience with middleware and gateways Knowledge of performance considerations in different environments Experience in structured methodologies for the design, development and implementation of applications Extensive experience in systems analysis and design in large systems environments Knowledge and experience designing processes around ITIL and is able to guide others using this methodology Experience translating business requirements into reporting needs Experience preparing conceptual, logical and/or physical processes and data models Experience developing, recommending, implementing and managing technical architecture Experience in the use of Computer Aided Software Engineering (CASE) tools and other software tools such as project management tools Awareness of emerging technologies, trends and directions Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills A team player with a track record for meeting deadlines Experience in developing enterprise architecture deliverables (e.g. models) Desirable Skills Experience in developing enterprise architecture deliverables (e.g. models) based on Ontario Government Enterprise Architecture processes and practice Knowledge and understanding of Enterprise Content Management (Open Text ECM applications) Knowledge and understanding of Information Management principles, concepts, policies and practices

Experience and Skill Set Requirements

Technical Proficiency (40%)

• Data Pipeline Design and Construction: Ability to develop, construct, maintain, and manage data pipelines.
• Programming Languages: Proficiency in languages such as Python, Java, or Scala.
• Distributed Systems: Experience with technologies like Hadoop, Spark, or Kafka.
• Data Transformation and Cleaning: Skills in transforming raw data into useful formats and ensuring data quality.
• Performance Optimization: Ability to monitor and optimize the performance of data systems.

Data Architecture and Storage Solutions (40%)

• Data Architecture Design: Expertise in designing, constructing, maintaining, and troubleshooting data architectures.
• Storage Solutions: Knowledge of various storage technologies and solutions, such as SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Data Integration: Experience in integrating data from multiple sources, including external databases and APIs.
• Scalability: Ability to design systems that can handle large-scale data efficiently.

Collaboration and Communication (20%)

• Stakeholder Collaboration: Ability to work closely with data scientists, analysts, and other stakeholders to understand and address their data needs.
• Communication Skills: Strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders.
• Teamwork: Experience working in cross-functional teams and contributing to collaborative projects.
• Problem-Solving: Ability to troubleshoot issues and provide solutions in a collaborative environment.