We are seeking a Data Architect to join our team. This person will make data a strategic asset by developing advanced data and AI solutions to foster data-driven decision-making. Key responsibilities include shaping data strategy, data governance, data quality, and transforming data for Analytics, BI, and AI. This position will focus on SAP and Microsoft data technologies, including Azure cloud platform.
Requirements
- Develop, implement, and continuously improve data governance frameworks, policies, and standards to ensure data integrity, privacy, security, and compliance across the organization.
- Define and oversee data stewardship roles, responsibilities, and processes to maintain high-quality, trusted data assets.
- Lead initiatives to classify, catalog, and manage enterprise data, ensuring data is discoverable, accessible, and protected.
- Design and manage enterprise data architecture, including data models, metadata, master data, and reference data, to support business analytics, BI, and AI initiatives.
- Establish and monitor data quality metrics, perform root cause analysis on data issues, and drive remediation efforts to ensure data is accurate, complete, and fit for purpose.
- Collaborate with business and technical teams to define data requirements, data lineage, and data lifecycle management practices.
- Assess and prepare organizational data assets for AI and machine learning use cases, ensuring data is structured, labeled, and governed for model development and deployment.
- Partner with analytics and AI teams to identify data gaps, enable feature engineering, and support data provisioning for advanced analytics projects.
- Champion the adoption of modern data platforms (e.g., Azure, SAP, cloud data lakes) and tools that facilitate scalable, secure, and AI-ready data environments.
- Architect and implement robust data solutions that align with business strategy and technology modernization goals, leveraging both on-premises and cloud platforms.
- Evaluate and recommend new technologies, tools, and processes to enhance data management, data governance, and data readiness for AI.
- Review and approve data solution designs, ensuring adherence to architectural standards and best practices.
- Create and maintain comprehensive documentation for data architecture, data flows governance processes, and data management practices.
Benefits
- Flexible work policies, including hybrid office/home working arrangements
- Retirement Plan
- Generous Paid Time Off
