Technology Architect

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 levelExtensive experience with at least three different platforms, operating systems, environments, database technologies, and communications protocolsExperience with middleware and gatewaysKnowledge of performance considerations in different environmentsExperience in structured methodologies for the design, development and implementation of applicationsExtensive experience in systems analysis and design in large systems environmentsKnowledge and experience designing processes around ITIL and is able to guide others using this methodologyExperience translating business requirements into reporting needsExperience preparing conceptual, logical and/or physical processes and data modelsExperience developing, recommending, implementing and managing technical architectureExperience in the use of Computer Aided Software Engineering (CASE) tools and other software tools such as project management toolsAwareness of emerging technologies, trends and directionsExcellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skillsA 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 practiceKnowledge and understanding of Enterprise Content Management (Open Text ECM applications)Knowledge and understanding of Information Management principles, concepts, policies and practicesRequirementsExperience and Skill Set Requirements:Skill Set Requirements:Technical Proficiency: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: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: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.