Data Architect

About the role

Are you seeking purpose, challenge, and talented colleagues? We develop leaders and empower our associates to use their skills and talents to positively impact the world through service – to our coworkers, clients, and communities. We subscribe to the mission of “empowering our people to impact communities by bringing clients’ visions to life,” so if this speaks to you, let’s connect! At CESO, a Data Architect is responsible for designing, implementing, and maintaining the company’s enterprise data architecture. This position develops scalable, secure, and governed data solutions that support reporting, analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements into technical data solutions, establishes architecture standards, and ensures enterprise data is reliable, accessible, and positioned to support future growth.

Responsibilities

• Develop, implement, and maintain enterprise data architecture standards, frameworks, design patterns, and best practices to ensure consistency, scalability, security, and maintainability across the company's data platforms and solutions.
• Develop and maintain logical, physical, dimensional, and semantic data models.
• Design enterprise database architectures, backend data structures, and scalable schema designs that support business applications, integrations, analytics, and AI initiatives.
• Design and oversee enterprise data integration solutions, including APIs, ELT/ETL processes, cloud platforms, and reporting environments, ensuring scalable, secure, and reliable data movement.
• Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies.
• Work with business stakeholders to understand data requirements and translate them into technical designs.
• Assist in establishing and maintaining enterprise data governance and compliance practices, including data quality, data ownership, stewardship, classification, and retention standards.
• Provide architectural guidance for databases optimization, indexing strategies, partitioning, and performance tuning to support enterprise-scale workloads.
• Review data solutions for alignment with architecture standards, security requirements, and business objectives while maintaining documentation, data catalogs and lineage