Senior Data Architect

The Senior Data Architect role is offered by a partner company managing all applications and next steps. This opportunity involves designing and delivering advanced cloud-based data solutions to help organizations unlock the value of their information assets. Key responsibilities include:

• Leading the design, development, and implementation of scalable cloud data architectures
• Providing technical guidance to delivery teams and clients
• Translating business requirements into technical data strategies and scalable architecture designs
• Collaborating with stakeholders to understand data needs and develop solutions aligned with business objectives
• Establishing and implementing data governance frameworks, policies, and procedures to improve data management practices
• Safeguarding data quality, integrity, security, and compliance through effective validation and monitoring processes
• Designing reusable, scalable data components and frameworks to support future analytics and AI initiatives
• Mentoring data engineering teams, providing technical direction and architectural guidance
• Developing cloud data solutions using platforms such as Azure, AWS, and GCP while following industry best practices
• Troubleshooting, optimizing, and maintaining cloud data environments to improve performance, reliability, and scalability
• Guiding teams on emerging data, analytics, and AI/ML technologies while supporting adoption of modern solutions
• Partnering with delivery and support teams to improve automation, deployment processes, and operational efficiency
• Supporting professional services engagements by advising clients on data architecture strategy and implementation
• Presenting technical recommendations, project outcomes, and architecture decisions to clients and internal teams
• Leading the orchestration and automation of cloud-based data platforms

Requirements

• An experienced data architecture professional with a strong background in cloud platforms, distributed data systems, and enterprise analytics solutions
• Consulting experience, strong technical expertise, and the ability to communicate effectively with both technical and business audiences
• Bachelor’s degree in computer science, engineering, data-related fields, or equivalent professional experience
• 7+ years of experience in data architecture, data engineering, analytics, performance optimization, pipeline integration, and infrastructure configuration
• 10+ years of consulting experience delivering technology solutions for clients
• Deep expertise in at least one major cloud ecosystem and working knowledge of additional cloud platforms
• Advanced understanding of Lakehouse architecture, data warehouse design, data modeling, and modern data management practices
• Hands-on experience with Databricks, Spark, Delta Lake, Iceberg, Hudi, and distributed computing environments
• Experience designing and managing data pipelines using technologies such as Databricks Delta Live Tables and DBT
• Understanding of MLOps concepts and experience supporting AI/ML model development and deployment workflows
• Experience with Terraform, Git, CI/CD pipelines, automation, and integration testing
• Knowledge of data governance, security models, Unity Catalog, access controls, and enterprise data management
• Familiarity with Databricks APIs, SCIM APIs, CLI tools, testing processes, and deployment workflows
• Experience implementing data quality controls, ingestion patterns, CDC, CDF, and Slowly Changing Dimensions (SCD Type 1/Type 2)
• Strong problem-solving skills with the ability to identify and resolve complex technical challenges
• Excellent communication, leadership, and client-facing presentation skills
• Ability to travel up to 15% as required

Preferred Qualifications

• Databricks Data Engineering Professional or Associate certification
• Cloud certification in Azure, AWS, or GCP
• Experience building enterprise-scale AI and analytics platforms
• Familiarity with advanced data security and governance frameworks

Benefits

• Remote work flexibility within the United States
• Competitive compensation package based on experience and qualifications
• Opportunity to work on innovative cloud, data, and AI transformation projects
• Exposure to diverse industries and complex enterprise technology environments
• Career growth opportunities through technical leadership and consulting engagements
• Collaborative environment with experienced cloud, data, and engineering professionals
• Opportunity to influence modern data architecture strategies and best practices
• Travel opportunities for client collaboration and project delivery