Jobs in Milton, Kanada

Sr. Architect - Data & Digital Transformation. Location: US (location agnostic); Pittsburg or Cleveland would be ideal. Leadership Band/Level: Sr. Director. Work mode: Remote; travel to Pittsburg, Cleveland, Dallas.

As a Senior Architect specializing in data and digital transformation, you will lead the architectural vision and execution for complex, large-scale initiatives that leverage cutting-edge cloud technologies and data-driven ecosystems. You will partner closely with executive leadership, engineering teams, and delivery partners to design robust, scalable, and secure hybrid architecture spanning On-Premises, AWS, Azure, and other cloud environments. This role requires a strategic thinker with hands-on expertise and the ability to drive change across business and technical stakeholders.

• Own and drive the enterprise-wide architecture strategy for digital transformation initiatives, leveraging microservices, AI-driven solutions, real-time integrations, and heterogeneous data sources/formats
• Conceptualize, design, and deliver scalable, resilient, and secure platform solutions supporting evolving business needs
• Architect and implement system integration solutions, integrating Salesforce, ServiceNow, custom applications, customer-facing channels, data lakes, and cloud data warehouses (e.g., Redshift, Snowflake, BigQuery)
• Define standards, best practices, and reference architectures for APIs, event-driven integration, and data interoperability across the enterprise
• Lead end-to-end solution architecture across hybrid environments, ensuring seamless integration between applications, data infrastructure, and cloud services on AWS, Azure, and GCP platforms
• Collaborate with CTOs, VPs of Data & AI, and senior technical leaders to translate business objectives into innovative data architectures and governance frameworks
• Guide modernization initiatives, transitioning legacy systems to modular, federated architectures incorporating micro front-ends and microservices
• Drive the design and optimization of real-time streaming data pipelines using Kafka, Spark Streaming, Flink, or equivalent technologies, ensuring high throughput and low latency
• Define best practices for data modeling, quality, governance, and security across relational and NoSQL databases, ensuring compliance and operational excellence
• Evaluate and propose emerging data technologies and cloud services, championing continuous improvement and architectural innovation
• Facilitate workshops and presentations to align stakeholders on architecture vision, technical roadmaps, and transformation priorities
• Mentor and lead cross-functional teams, fostering agile delivery and DevOps practices including CI/CD and infrastructure-as-code

• Bachelor's or master's degree in computer science, Information Technology, or related discipline
• 15+ years of progressive experience in enterprise architecture with deep expertise in data architecture and digital transformation
• Proven expertise with cloud platforms AWS, Azure, and GCP, including services for data warehousing, lake houses, and streaming analytics
• Strong hands-on experience with microservices, hybrid cloud solutions, and front-end federated architectures
• Deep knowledge of real-time data processing frameworks (Kafka, Spark Streaming, Flink) and unstructured data management using NoSQL stores (MongoDB, Cassandra)
• Proficient in SQL, Python, Scala, and experience with vector databases (e.g., Pinecone, Weaviate) for AI-powered use cases
• Extensive background in data governance, compliance, identity management, and security best practices
• Demonstrated ability to influence senior stakeholders and present complex technical concepts clearly across diverse audiences
• Agile methodology experience, with strong leadership skills to manage cross-disciplinary teams and foster innovation

• Certifications in cloud platforms such as AWS Certified Data Analytics - Specialty, Azure Data Engineer Associate, or GCP Professional Data Engineer
• Experience with implementing Lakehouse architecture on-Prem and cloud
• Experience with infrastructure-as-code tools like Terraform or CloudFormation
• Experience with policy-as-code in Data and application environments
• Data Modelling, Polyglot persistence, virtualization, Data governance
• Knowledge of machine learning pipelines and deployment on cloud environments
• Strong strategic mindset with proven success in driving enterprise-wide architectural transformations
• Excellent communication, stakeholder management, and mentoring abilities, thriving in fast-paced, ambiguous settings

• Strategic Communicator - simplifies complex architecture and aligns stakeholders
• Executive Presence - trusted advisor to leadership with influencing capabilities & ability to stand the ground
• Collaborative Leader - mentors and leads cross-functional teams effectively
• Innovative Thinker - explores emerging technologies and fosters innovation
• Results-Oriented - accountable, deadline-focused, and outcome-driven
• Customer-Centric - balances user experience with business impact
• Adaptable & Resilient - thrives in ambiguity and fast-paced settings