Principal Cloud Engineer

at  BMO Financial Group

Toronto, ON, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate18 Jan, 2025USD 92400 Annual19 Oct, 20247 year(s) or abovePower Bi,Machine Learning,Decision Making,Realization,Business Case,Communication Skills,Reviews,Big Data,System Requirements,Business Applications,Software Architecture,Data Warehousing,Architecture,Design,Ml,Docker,Technology,Distributed Systems,Ec2NoNo
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Description:

250 Yonge Street Toronto Ontario,M5B 2L7

Creates a visionary IT architecture roadmap and organizational strategy to align business needs with technologies. Leads and facilitates the design and implementation of repeatable technical solutions and processes related to technology architecture. Defines and documents efficient and transparent architectural principles, standards, and guidelines regarding the proper use and deployment of business applications, data, and technology within the Bank. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated. Provides immediate response to critical production program-wide problems to evaluate solutions, coordinate applicable recovery, and ensure resolution.

  • Provides strategic input into business decisions as a trusted advisor.
  • Works with internal stakeholders to provide architectural recommendations and guidance and departmental presentations.
  • Leads and facilitates the design of technology projects and applications.
  • Acts as the prime subject matter expert for internal/external stakeholders.
  • Reviews technical work.
  • Develops and recommends productivity aids to accelerate delivery.
  • Creates and manages key architecture assets for the designated portfolio and business scope.
  • Ensures sound and robust architecture and provides sufficient guidance for the successful implementation of solutions to mitigate negative enterprise technology and budget impacts.
  • Identifies risks or issues with technology solution and design that may impact realization of project benefits, and guides and supports stakeholders in making good decisions that proactively resolve or mitigate potential project risks/delays.
  • Participates in the system specification review process to ensure system requirements can be translated into valid software architecture.
  • Identifies and researches relevant technologies, performs proofs of concept / prototypes, and recommends the applications of such technologies for future product architecture.
  • Provides input into the preparation of business case.
  • Identifies opportunities to strengthen the capability of the technology organization (e.g. sharing architectural expertise to promote technical development, mentoring employees, building communities of practice and networks).
  • Stays abreast of industry technical and business trends through participation in professional associations, practice communities, and individual learning.
  • Provides architectural expertise and domain knowledge to advise and guide senior leaders.
  • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
  • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
  • Implements changes in response to shifting trends.
  • Broader work or accountabilities may be assigned as needed.

QUALIFICATIONS:

  • Around 7+ years of experience as a Cloud Infrastructure engineer in Data and Data warehousing technologies.
  • Around 10+ relevant experience and post secondary degree in related field of study or an equivalent combination of education and experience.
  • Good decision-making and problem solving skills
  • Strong knowledge on Data Lake, Data Warehousing, Distributed systems and Data infrastructure concepts.
  • Solid experience with ML infrastructure and ML DevOps
  • Experience in migrating data from on-prem Hadoop to AWS/Azure Cloud
  • Understanding of core AWS & Azure services & architecture best practices
  • Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
  • Solid experience creating CI/CD pipelines to manage infrastructure deployment and code deployment.
  • Excellent communication skills for providing specialized consulting, analytical and technical support to internal team members and external CIO Business teams
  • Should have sound experience provisioning following Cloud Services as well as their design and architecture components:
  • CDK & TypeScript, NodeJS, Python, Terraform
  • Code pipeline, CICD, Build/Deploy
  • AWS EMR, Glue, Managed Airflow, Lakeformation, Athena, S3, ELK / OpenSearch
  • RDS, Redshift, DocumentDB, Neptune & Data Migration Service
  • EC2, S3, IAM, Secrets Manager, System Manager, Cloudwatch
  • AWS Sagemaker Studio (ML), Docker & Containers
  • AWS QuickSight and Power BI reporting tool
  • Nice to have: Azure SQL DB, Azure SQL MI, Azure Data Factory, Azure Synapse, Azure Databricks

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:7.0Max:10.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Diploma

Proficient

1

Toronto, ON, Canada