Role Overview:The IT Senior Data Architect is responsible for designing and implementing enterprise data architecture solutions that support business objectives and strategic initiatives. This role provides technical leadership for data platforms, integration, governance, and analytics solutions, ensuring scalable, secure, and high-quality data capabilities across the organization.
Key Responsibilities:- Define and deliver enterprise data architecture strategies, roadmaps, and standards.
- Design and maintain data solutions, including databases, data warehouses, data lakes, and analytics platforms.
- Partner with business and technology stakeholders to translate requirements into scalable data architectures.
- Lead the design of data integration, ingestion, transformation, and data management solutions.
- Establish and enforce data governance, metadata, lineage, data quality, and security standards.
- Define data models and architecture patterns that support reporting, analytics, and operational needs.
- Evaluate and recommend data technologies, tools, and platforms.
- Ensure solutions align with enterprise architecture, security, compliance, and operational standards.
- Lead architecture reviews and provide technical guidance to project and engineering teams.
- Drive modernization efforts through reusable, cost-effective, and scalable data services.
Required Skills:- Strong expertise in data modeling, data governance, data integration, and cloud-based data platforms.
- Strong communication, stakeholder management, and leadership skills.
Qualifications:- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- Significant experience in Data Architecture, Data Engineering, or Enterprise Architecture.
Preferred Skills:- Experience with Databricks, Azure Data Factory (ADF), data warehousing, and data lake technologies.
- Familiarity with metadata and governance tools such as Collibra and Unity Catalog.
- Knowledge of Change Data Capture (CDC), data security, RBAC, privacy controls, and data quality frameworks.
- Experience working in Agile delivery environments and using tools such as Jira.
