Senior Data Architect - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Architect based in United States.

This role offers the opportunity to design and deliver advanced cloud-based data solutions that help organizations unlock the value of their information assets. As a Senior Data Architect, you will shape modern data platforms, including Lakehouse and data warehouse architectures, while supporting AI and analytics initiatives. You will collaborate with business stakeholders, engineering teams, and clients to transform complex data challenges into scalable technical solutions. The position combines hands-on architecture, cloud engineering expertise, consulting, and technical leadership. You will contribute to data governance, quality, automation, and best practices across enterprise environments. This is an ideal opportunity for a data professional who enjoys solving complex problems, mentoring teams, and driving innovation through modern cloud technologies.

Accountabilities:

The Senior Data Architect will lead the design, development, and implementation of scalable cloud data architectures while providing technical guidance to delivery teams and clients. This role requires strong expertise in data engineering, cloud platforms, governance, and modern analytics solutions to deliver reliable and high-performing data ecosystems.

• Lead the architecture, design, and implementation of Lakehouse and data warehouse solutions within cloud-based environments.
• Translate business requirements into technical data strategies and scalable architecture designs.
• Collaborate with stakeholders to understand data needs and develop solutions aligned with business objectives.
• Establish and implement data governance frameworks, policies, and procedures to improve data management practices.
• Ensure data quality, integrity, security, and compliance through effective validation and monitoring processes.
• Design reusable, scalable data components and frameworks to support future analytics and AI initiatives.
• Lead and mentor data engineering teams, providing technical direction and architectural guidance.
• Develop cloud data solutions using platforms such as Azure, AWS, and GCP while following industry best practices.
• Troubleshoot, optimize, and maintain cloud data environments to improve performance, reliability, and scalability.
• Guide teams on emerging data, analytics, and AI/ML technologies while supporting adoption of modern solutions.
• Partner with delivery and support teams to improve automation, deployment processes, and operational efficiency.
• Support professional services engagements by advising clients on data architecture strategy and implementation.