Join a leading enterprise technology consulting team focused on driving functional excellence and innovation. We are seeking a Senior SAP Datasphere Consultant with extensive experience in end-to-end data modeling and solution design.

This role requires deep expertise in leveraging SAP Datasphere's capabilities to build robust and scalable data solutions. You will play a crucial part in transforming data into actionable insights for our clients.

Your responsibilities will include collaborating with stakeholders, translating business needs into technical designs, and ensuring the optimal performance of data models. Mentoring junior team members and upholding modeling standards are also key aspects of this position.

Develop and implement end-to-end data models and solutions within SAP Datasphere, utilizing Graphical Views, SQL Views, Analytical Models, and Business Entities.

Write complex SQL scripts for advanced transformations, reusable functions, and performance-optimized logic. Architect scalable data models that align with business requirements and SAP best practices.

Optimize query performance, partitioning, and semantic modeling for large datasets. Integrate Datasphere with diverse source systems, including S/4HANA, ECC, BW/4HANA, CRM, and SuccessFactors, for reporting and analytics.

Utilize data provisioning tools like SDI, SDA, SLT, and Cloud Connectors for efficient data movement. Manage transports, landscape governance, and version control for Datasphere artifacts. Support reporting and consumption layers using tools such as SAP Analytics Cloud, Analysis for Office, or Power BI.

Collaborate with business stakeholders to gather requirements, translate them into technical designs, and recommend solutions. Mentor junior consultants, conduct code reviews, and enforce modeling standards. Demonstrate excellent client-facing and leadership skills within a global delivery setting.

A minimum of 5 to 8 years of dedicated experience in SAP Datasphere is essential.

Possess deep expertise in end-to-end data modeling and solution design, proficiency with Graphical Views, SQL Views, Analytical Models, and Business Entities. Demonstrate strong SQL scripting skills for complex calculations, advanced transformations, reusable functions, and performance optimization.

Proven ability to architect data models that balance performance, scalability, and business needs, adhering strictly to SAP best practices. Expertise in performance tuning and optimization techniques, including query pruning, partitioning, semantic modeling, and handling large datasets is required.

Experience integrating Datasphere with multiple source systems like S/4HANA, ECC, BW/4HANA, CRM, SuccessFactors, and third-party sources for reporting and analytics. Solid understanding of data provisioning/integration tools such as SDI, SDA, SLT, and Cloud Connectors for real-time and batch data movement. Familiarity with transport management, landscape governance, and version control for Datasphere artifacts is expected.

Exposure to reporting and consumption layers, particularly SAP Analytics Cloud (SAC), Analysis for Office (AFO), or Power BI is beneficial. Ability to effectively gather requirements, translate them into technical designs, and provide solution recommendations. Strong communication, client-facing, and leadership skills are critical, with a proven track record of working in global delivery environments. A Bachelor's Degree, Master's, MBA, PGDM, CA, or CMA qualification is required.