Enterprise Data Architect

3 days ago

Windsor, Ontario, Canada Rock Connections Full time

About Rock Connections

Rock Connections is a leading company in the fintech, sports, entertainment, real estate, and startup industries. Our company is built on a culture of innovation, inclusivity, and community. We believe in empowering our team members to grow and develop their skills, and we're committed to creating an environment where every voice is heard.

Job Summary

We're seeking an experienced Enterprise Data Architect to join our team at Rock Connections. As a key member of our data team, you'll play a crucial role in shaping our data landscape and driving business growth. Your expertise will help us identify data requirements, design and maintain blueprints, and ensure seamless data integration.

Key Responsibilities

  • Strategic Roadmaps: Develop and evolve technology roadmaps that define our company's data architectures and support data strategies.
  • Performance and Security: Ensure data solutions are performant, secure, and follow reusable patterns.
  • Best Practices: Develop and share best practices for data discovery, change management, and deployment.
  • Data Standards: Research, analyze, and promote data standards across the organization.
  • Collaboration: Partner with cross-functional teams to deliver roadmaps and enable data capabilities.
  • Architectural Design: Design integrations with other data sources and architect data solutions.
  • Technology Evaluation: Identify build vs. buy strategies for data technologies.
  • Continuous Improvement: Monitor performance trends and improve processes.
  • Mentoring and Guidance: Mentor team members and define internal guidelines.
  • Stay Current: Research and stay informed about new technologies.

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, modeling, and management.
  • 7 years of experience with relational, big data, conceptual, and logical data modeling.
  • 5 years of experience with system architecture and normalization considerations.
  • Experience with ArchiMate, TOGAF, SOA, or CMMI.
  • General experience with Python, PowerShell, SQL, or 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 building data solutions.
  • 5 years of experience with intersystem communication strategies, including ESB and web services.
  • Master's degree in computer science, information technology, software engineering, or a related field.
  • Knowledge of and experience with Open Group Standards and Agile software development practices.
  • Familiarity with MapReduce syntax such as the Hadoop stack.

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