Datasphere Architect

About the Role

Key Responsibilities

• Defining and managing SAP Datasphere (DSP) sizing and performance.
• Designing scalable, modular data models and architecting cross-space sharing while maintaining security and governance.
• Orchestrating resilient task chains, implementing error handling and retry mechanisms, and monitoring executions.
• Setting up proactive monitoring systems and integrating real-time alerting for issue resolution.
• Ensuring data quality and governance by defining and enforcing data quality rules, building dashboards for KPIs, and collaborating with compliance teams.
• Integrating DSP with hybrid environments, including cloud platforms like Snowflake.
• Identifying and resolving performance issues in data models using best practices in data modeling, indexing, and partitioning.
• Promoting self-service analytics by providing training, documentation, and aligning data models with business needs.
• Collaborating with data engineers, analysts, business users, and IT teams to ensure effective communication and stakeholder management.
• Implementing robust security and access controls to ensure data security standards are met.
• Maintaining comprehensive documentation, defining naming conventions, and enforcing version control and deployment standards.

Requirements

• Deep understanding of SAP Datasphere (DSP) sizing, performance management, and integration.
• Ability to design scalable, modular data models and architect cross-space sharing while maintaining security and governance.
• Skills in designing resilient task chains, implementing error handling and retry mechanisms, and monitoring executions.
• Proficiency in setting up proactive monitoring systems and integrating real-time alerting.
• Experience in defining and enforcing data quality rules, building dashboards for KPIs, and collaborating with compliance teams.
• Knowledge of integrating DSP with hybrid environments, including cloud platforms like Snowflake.
• Ability to identify and resolve performance issues in data models using best practices in data modeling, indexing, and partitioning.
• Strong communication and collaboration skills to work with data engineers, analysts, business users, and IT teams.
• Expertise in implementing robust access control mechanisms and ensuring compliance with data security standards.
• Ability to maintain comprehensive documentation, define naming conventions, and enforce standards for version control and deployment.

Nice to Have

• Experience with cloud platforms such as Snowflake.

Qualifications

• Professional experience with SAP Datasphere (DSP).

Benefits & Perks

• Compensation of $80-83/hr, with exact pay varying based on skills, experience, and education.
• Medical, dental, and vision insurance.
• HSA, FSA, and DCFSA account options.
• 401k retirement account with employer matching.
• Paid sick leave and/or other paid time off as provided by law.