Data Architect

The Data Architect is responsible for delivering a data strategy that is in line with the goals and objectives of the digital unit. The strategy includes principles and best practices on data model designs, database development standards, implementation and management of data warehouses, and data analytics systems. The Data Architect is also responsible for managing the data services activities and designing data governance within the company’s digital unit function. They are also responsible for maintaining the highest levels of data competency, data policies, data usage, data quality, and reporting capabilities across the organization.

Job Duties:

• Data Strategy, Governance & Implementation.
• Drive the business objectives of the digital unit by ensuring a best-of-class data management function that is adaptable and scalable with the growing business needs.
• Provide data governance guidelines involving proper data classification, data policies, data quality, and other activities around data and analytics functions.
• Implement a data catalog of enterprise data assets throughout the organization.
• Partner with business analysts and architects to develop technical architectures for strategic projects and initiatives.
• Provide oversight, strategic thought leadership, and innovative solutions towards maturing a data strategy, architecture, and service capabilities.
• Leverage advanced database systems including data warehouses, data marts, and models needed for business, financial and operational analysis, and/or reporting with Microsoft Azure technologies.

Job Qualifications:

Required:

• BS/BA degree, ideally in computer science, engineering, or a comparable background.
• Minimum of 8 years of programming experience with Python.
• Minimum of 4 years of experience working with Microsoft Azure-related data technologies.
• Expertise in the design and implementation of enterprise data stores, data warehouses, data governance, data quality management, real-time data ingestion, data modeling, and metadata management.
• Proficiency in tools like Spark or DataBricks to handle big data.
• Experience in working with data lakehouse architecture.
• Container management and orchestration experience with Docker and Kubernetes.
• Proficiency in data pipeline tools (e.g., Apache Airflow, DBT) and database technologies (e.g., SQL, NoSQL). Certification in Microsoft Azure Data Engineering is a plus.
• Traveling: 10%