AWS Data Enterprise Architect

4 weeks ago

Windsor, Ontario, Canada Rock Central LLC Full time
Job Summary

As a seasoned Enterprise Data Architect, you will play a pivotal role in identifying the data needs of our organization and designing blueprints to guide data integration, control data assets, and align data investments with our business strategy. This expert team member will document multiple architectural models or views that showcase how current and future organizational needs will be met in an efficient, sustainable, agile, and adaptable manner.

Responsibilities
  • Create and evolve technology road maps that define company data architectures and enable a solid company data strategy.
  • Ensure data solutions are built for performance, fault tolerance, and security with reusable patterns.
  • Develop and share best practices for knowledge and data discovery to deliver impactful data-driven decision support systems.
  • Form and define best practices for change management, source control, and deployment methodologies for big data solutions.
  • Identify and enable data capabilities across the company.
  • Design integrations with other data sources.
  • Research, analyze, and promote data standards to be used across the company.
  • Set and lead standards discussions among big data engineers, data scientists, and other team members across the business.
  • Architect data solutions.
  • Identify and implement build vs. buy strategies regarding technology.
  • Identify performance trends and work with teams to improve processes and procedures.
  • Partner with the business and appropriate teams to deliver road maps.
  • Work with the team to build a holistic view of the company's strategy, processes, information, and information technology assets.
  • Define best practices and internal guidelines.
  • Research new technologies.
  • Mentor team members and share best practices.
  • Capture program metrics.
Requirements
  • Bachelor's degree in computer science, information technology, software engineering, or a related field.
  • 7 years of experience in database administration, application development, data integration, data modeling, and data management.
  • 7 years of experience with relational data modeling, big data modeling, conceptual data modeling, and logical data modeling.
  • 5 years of experience with system architecture and normalization considerations.
  • Experience with enterprise architecture modeling languages or frameworks such as ArchiMate, TOGAF, SOA, or CMMI.
  • General experience with scripting and data languages like Python, PowerShell, SQL, and Bash.
Preferred Qualifications
  • 7 years of experience with data quality management, reference data management, master data management, ODS/graph management, enrichment, and analytics, metadata management, integrations, and service standards, data lakes, or governance (architectural and technical).
  • 5 years of experience with building data solutions.
  • 5 years of experience with inter-system communication strategies, including ESB and web services.
  • Master's degree in computer science, information technology, software engineering, or a related field preferred.
  • Knowledge of and experience with Open Group Standards.
  • Experience with Agile software development practices.
  • Experience with MapReduce syntax such as Hadoop stack.

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