Technical Architect

Job Title: Technical Architect
Location: Remote (Canada)
Duration/Term: Long Term Contract

Job Summary:

We are seeking an experienced and forward-thinking Technical Architect with deep expertise in Azure AI, Business Insights, or Elastic Search, alongside proven experience in enterprise solution design across database, big data, and cloud ecosystems. The ideal candidate will architect and implement scalable, high-performance, and secure data platforms, leveraging a wide range of modern technologies and cloud-native tools.

Key Responsibilities:

• Architect and design complex enterprise-level solutions, integrating search platforms, AI, big data, and multi-cloud technologies.
• Develop comprehensive technical architecture documents, data flows, blueprints, and integration frameworks.
• Lead implementation of cloud-native and hybrid data systems, primarily leveraging Azure AI & Search Services or Elastic Search.
• Define strategies for data ingestion, ETL/ELT processing, storage, and advanced analytics.
• Implement real-time data streaming and analytics pipelines using Kafka, Spark, and other distributed technologies.
• Optimize data search and retrieval across high-volume, distributed environments.
• Collaborate with cross-functional teams including DevOps, Data Engineers, and Application Developers to ensure consistent delivery.
• Govern security, compliance, and data governance practices, ensuring audit-readiness.
• Design and deploy container-based solutions using Docker and Kubernetes, and manage integrations via middleware tools like IBM WebSphere, IBM MQ, and Oracle SOA.

Required Skills & Qualifications:

• Bachelor s or Master s in Computer Science, Engineering, or a related field.
• Minimum 3 years as a Solution Architect; total IT experience as required for senior technical leadership.
• Deep experience with Azure AI, Azure Search, Business Insights, or Elastic Search
• Hands-on experience across relational, hierarchical, NoSQL, and network databases such as Oracle, DB2, MongoDB, Cassandra, and DynamoDB.
• Solid grasp of big data ecosystems: Hadoop, Hive, HBase, Oozie, Spark, Kafka, Presto, etc.
• Expertise in data warehousing, distributed computing, and ETL/ELT pipelines.
• Familiarity with middleware technologies and containerization: Docker, Kubernetes, IBM WebSphere, MQ.
• Strong coding and scripting in Python, Java, SQL, and Shell.
• Deep understanding of networking, security, and enterprise compliance.
• Excellent communication, critical thinking, and documentation skills.

Preferred Qualifications:

• Certifications such as Azure Solutions Architect, AWS Certified Architect, or Google Cloud Professional Architect.
• Big data certifications (e.g., Cloudera, Databricks, Hortonworks).

Key Skills:

Azure AI, Elastic Search, Business Insights, Enterprise Solution Architecture, Big Data (Hadoop, Kafka, Spark), SQL/NoSQL (Oracle, MongoDB, Cassandra), ETL/ELT, Docker, Kubernetes, IBM WebSphere/MQ, Middleware Integration, Python, Java, Cloud Platforms (Azure, AWS, Google Cloud Platform), Security & Compliance

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