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As a Data Architect, you will lead and mentor teams in delivering data solutions, including data warehousing and analytics projects. You will interface with customers, champion best practices, and drive innovation while ensuring quality delivery using Agile methodologies.

The Data Architect role involves leading delivery teams, mentoring staff, and engaging with clients to deliver data solutions using modern data warehousing, cloud services, and machine learning. The role focuses on deriving business value from data through Agile methodologies and DataOps culture, ensuring high-quality solutions that meet customer needs.

Lead and mentor teams on data projects, work with clients on data value extraction, advocate Agile methodologies, and drive business intelligence and machine learning capabilities.

The Data Architect will design and implement data solutions, leveraging modern data warehousing, analytics, and machine learning. They will lead teams, engage with clients, and champion Agile methodologies to deliver business value. The role involves mentoring, driving DataOps culture, and ensuring high-quality standards in data platform implementations.

As a Data Architect, you'll lead and mentor teams on complex data projects, implement solutions across data warehousing and cloud, advocate for DataOps culture, and engage with stakeholders to deliver high-quality, innovative data solutions.

Lead, mentor, and work on exciting data projects using cutting-edge technologies to help clients unlock their data potential. Interface with customers to provide technical expertise and lead delivery teams in crafting innovative solutions. Advocate Agile methodologies and constant delivery of business value in both on-premise and cloud environments. Bring wide experience in data platforms, data modeling, cloud services, security, and privacy. Champion quality, innovation, and customer success in the data ecosystem.

The Data Architect will lead and mentor teams in delivering data solutions, interfacing directly with clients. Responsibilities include implementing data warehousing and scalable analytics, embracing DataOps culture, and advocating Agile methodologies. The role demands a hands-on approach with strong knowledge of data ecosystems, public cloud services, and security practices.