What are the responsibilities and job description for the Enterprise Data Architect position at VRK IT Vision Inc.?
Enterprise Systems Department (ESD) Director, particularly in data governance best practices and data stewardship processes.
Primary Responsibilities
Required:
Primary Responsibilities
- Data Strategy & Architecture:
- Develop and implement both short-term and long-term data strategies aligned with GTRI's strategic initiatives, covering Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lakes, Data Lakehouses).
- Create, maintain, and evolve data architecture blueprints and reference architecture for current, transitional, and future states.
- Design conceptual and logical data models and flowcharts reflecting a practical enterprise data model and architecture.
- Innovation & Tools:
- Stay updated with the latest industry tools and technologies, recommending innovative solutions to enterprise-level data challenges.
- Collaborate with the ETL, Data Warehouse, and Reporting teams to gather and integrate data from internal and external sources.
- Implement data quality measures, including data profiling and data quality rules management.
- Governance & Security:
- Work with cross-functional teams (security, legal, etc.) to establish standards and policies for securing and protecting enterprise information assets, ensuring proper access management and privacy controls (in-flight and at rest).
- Manage information security, including sensitivity analysis, access and audit controls, encryption, and other data protection techniques.
- Collaboration & Optimization:
- Collaborate with the ESD Database Administrators (DBAs) to optimize Oracle database systems for enhanced performance.
- Facilitate integration of data visualization tools like Tableau and Cognos, widely used at GTRI, ensuring compatibility with Oracle databases, IBM DataStage, and other data sources.
Required:
- Experience: 10 years architecting on-premise and cloud-based enterprise data solutions.
- Expertise: Architecting and delivering end-to-end data solutions (Data Warehousing, Analytics, BI, Big Data, Operational Data Stores, Metadata, Master Data) within an enterprise.
- BI Platforms: Expertise in designing, building, and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms.
- Data Architecture: Proficiency in data process modeling (conceptual, logical, and physical) for scalability, consistency, integrity, and quality.
- Data Governance: Solid knowledge of data governance frameworks and experience developing an Enterprise Data Management (EDM) framework in alignment with enterprise data governance policies.
- Data Visualization: Expertise in data visualization tools such as PowerBI, Tableau, and Cognos Analytics.
- Technology Platforms: Experience with platforms like MuleSoft and IBM DataStage.
- Data Management: Strong understanding of data management concepts, including handling structured and unstructured data, batch, and real-time integrations.
- Data Accessibility: Knowledge of improving data models that support business intelligence tools to enhance data-driven decision-making across the organization.
- Data Integration: Expertise in general data integration, conversion scripting, and workflow development.
- Education: Bachelor's or Master's in Computer Science or a related field.
- Certifications: Relevant industry certifications are a plus.
