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Principal Data Architect

Posted 4 days agoViewed

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💎 Seniority level: Principal, 10 years

📍 Location: Canada, United States

🔍 Industry: Software Development

🗣️ Languages: English

⏳ Experience: 10 years

🪄 Skills: AWSLeadershipPythonSQLCloud ComputingETLMachine LearningAlgorithmsData engineeringData StructuresREST APIAnalytical SkillsCI/CDProblem SolvingWritten communicationDocumentationExcellent communication skillsCritical thinkingTroubleshootingStrong work ethicStrong communication skillsData visualizationStrategic thinkingData modelingData analyticsData management

Requirements:
  • At least 4 years of experience in AWS data landscape
  • 10 years of experience designing and building complex data systems as well as experience in these areas: Traditional Data (Relational database design, optimization and migration; Data modeling for both transactional and analytics systems including implementation of industry standard data models; BI dashboards and visualizations; Data Governance and MDM). New Data (Big data processing using Spark, Streaming solutions, and NoSQL; Machine Learning and MLOps with proficiency in Sagemaker; GenAI Foundational Models as well as approaches and frameworks used in conjunction with them with proficiency in Bedrock; DataOps practices (Infrastructure as Code, Data Testing, Data Versioning, etc)
  • Experience with at least two of these: Infrastructure as Code tools; CI/CD pipelines and tools; Python for analytics (numpy, pandas, matplotlib etc) and automation
Responsibilities:
  • Define strategic roadmaps and targeted outcomes for our clients in a consultative capacity
  • Act as a data engineering SME to define upcoming engagements working with our pre-sales teams
  • Perform technical interviews for Architect and Engineer candidates as well as provide technical guidance to Architects and Engineers
  • Oversee the development and implementation of data standards and operating procedures
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