Data Architect
4 days ago
The Data Architect will lead the technical design and strategic functions, ensuring alignment with business requirements and enterprise architecture standards. This role is critical to the success of the project, contributing to the creation and management of high-quality data architectures.
Key Responsibilities
• Design and implement data architecture for the EDW, including data marts and conformed dimensions to support reporting and analytics.
• Develop logical and physical data models optimized for performance and aligned with business processes.
• Design and oversee ETL processes to integrate data from multiple sources into the EDW, ensuring data quality and consistency.
• Establish and enforce data governance policies for data access, quality, and security.
• Develop and promote best practices for data management, including architecture, integration, quality, and standardized methodologies.
• Document data architectures, models, and processes to ensure effective knowledge transfer to IT and business teams.
• Lead or participate in architectural reviews and respond to requests for data architecture scope extensions.
• Collaborate with IT teams, developers, and stakeholders to ensure data architectures meet strategic goals.
Deliverables
• Fully developed and documented data architectures and models for EDW and data marts.
• ETL processes designed and implemented for data integration.
• Weekly and monthly status reports.
Qualifications and Experience
Must-Have Requirements
Education:
• University degree in business, management, or related field + 2 years of Data Architect experience.
• OR equivalent combination of diploma/certification + additional years of experience.
Experience:
• 2+ years designing and implementing enterprise solution databases in complex environments.
• 2+ years documenting enterprise database solutions.
• 5+ years performing threat/risk assessments and recommending mitigation strategies.
• 6+ years working with enterprise architecture principles and standards.
• Experience with business intelligence tools (e.g., Cognos BI Suite, Microsoft SQL Server, Power BI).
Nice-to-Have Experience
• Hands-on experience with data security, privacy policies, and de-identification practices.
• Expertise in Agile project environments and tools for architecture modeling (e.g., PowerDesigner, ERWin).
• Familiarity with artificial intelligence (AI) models and cloud computing platforms.
• Public sector experience, particularly with Justice Courts data marts or warehousing.
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