DOMO Architect

Role Description

Candidate must be expertise in data architecture, cloud technologies, and the Domo platform, with a focus on creating scalable and high-performance data solutions. He will be responsible for defining the architecture, data models, and integrations, while ensuring the Domo platform is optimized to support the organization's analytics and business intelligence objectives.

Key Responsibilities

• Design and implement end-to-end DOMO architecture for scalable and efficient BI solutions.
• Define data flow processes, ingestion strategies, and transformation logic using DOMO tools (Magic ETL, DataFusion, Dataflows).
• Ensure proper data governance, security, and access controls across the platform.
• Architect seamless data pipelines using DOMO’s connectors, APIs, and ETL tools.
• Optimize data models, transformations, and storage solutions for performance and cost efficiency.
• Integrate DOMO with external databases, cloud platforms (AWS, Azure, GCP), and enterprise applications.
• Analyze and improve query performance, data processing speeds, and dashboard responsiveness.
• Implement best practices for caching, indexing, and incremental data loads.
• Monitor system performance and troubleshoot bottlenecks in data processing.
• Establish standardized dashboard templates and visualization guidelines.
• Ensure that dashboards are intuitive, performance-optimized, and aligned with business needs.
• Leverage Beast Modes, custom scripts, and advanced analytics for deeper insights.
• Define role-based access controls (RBAC) and ensure compliance with data privacy policies.
• Implement audit mechanisms to track data access and modifications.
• Work closely with business leaders, data engineers, analysts, and IT teams to align on objectives.
• Train users on best practices for self-service BI and encourage adoption.
• Provide technical leadership and mentor teams on advanced DOMO capabilities.

Qualifications/Skills

• 8+ years of expertise in DOMO architecture, including DataFlows, Magic ETL, Beast Modes, and Workbench.
• Strong proficiency in SQL, Python, JavaScript, and API integration.
• Experience with data modeling, warehousing, and cloud platforms (AWS, Azure, GCP).
• Solid understanding of BI best practices, governance, and security.
• Experience in creating complex, optimized data models and visualizations in Domo.
• Proficient in managing and optimizing Domo’s performance, including troubleshooting issues and improving system efficiency.
• Strong understanding of data warehousing concepts and the ability to design effective data architectures.
• Excellent communication and interpersonal skills, with the ability to collaborate with both technical and non-technical teams.
• Able to lead and mentor a team of developers and data professionals.
• Major Domo certification will be a plus.