Technical Architect

Job Description Job Description Senior SAP Data Architect - Around 10 Years of experience working with SAP Data/Analytics - Knowledge of Data Warehouse Cloud (DWC) or Datasphere is a must - Experience in SAP Analytics Cloud with Functional knowledge of Finance, Procurement & Billing - Experience in SAP Data Intelligence or SAP Data Service (BODS) - Knowledge of Third Party Data warehouse tools Preferably Google Big Query Position Overview As part of our offshore resource requirement, we are looking for experienced candidates who can manage, maintain, and optimize our SAP Data Sphere environment. The selected candidate will be responsible for configuring, monitoring, and troubleshooting SAP Data Sphere, ensuring seamless data integration, and managing data models and flows. The role also involves collaborating with cross-functional teams to ensure data consistency, security, and performance, while supporting business intelligence and reporting needs Key Responsibilities2. Data Management & Optimization:3. Monitoring & Troubleshooting:4. Collaboration & Support:5. Documentation & Reporting: - Administration & Configuration: - Install, configure, and manage SAP Data Sphere environments, including data models, connections, and replication flows. - Configure and maintain Data Integration, Data Modeling, and Data Flow components. - Manage user access, roles, and security permissions to ensure data confidentiality and compliance. - Set up Data Lake connections and manage data access policies. - Oversee data replication and synchronization between SAP S/4HANA, BRIM, ECC, and GCP Big Query. - Optimize data loading and extraction processes for performance and efficiency. - Implement and manage ETL/ELT processes, including data cleansing, transformation, and validation. - Troubleshoot and resolve data integration issues. - Perform regular monitoring of Data Sphere jobs, data flows, and performance metrics. - Identify and resolve data flow failures, performance bottlenecks, and replication errors. - Create and maintain alerts and notifications for data flow anomalies and errors. - Ensure data accuracy and consistency through regular data audits and validation. - Collaborate with data architects, developers, and business teams to define and implement data strategies. - Provide technical support to development teams for data integration and extraction. - Work with SAP support and ECS teams to resolve system issues. - Participate in code reviews and technical discussions. - Maintain comprehensive documentation of configurations, processes, and troubleshooting steps. - Generate and share reports on data performance, usage, and issues with stakeholders. - Ensure adherence to data governance policies and best practices. Technical Skills Required - Proficiency in SAP Data Sphere administration, configuration, and management. - Strong understanding of SAP HANA, SAP S/4HANA, SAP BRIM, and GCP Big Query integration. - Hands-on experience with ETL processes, data pipelines, and data modeling. - Expertise in SQL, Open SQL, and data transformation techniques. - Experience with cloud platforms (GCP, AWS, Azure) and connectivity. - Familiarity with SAP Data Intelligence and SAP Data Services is a plus. - Knowledge of API integration and data extraction techniques. - Strong troubleshooting and problem-solving skills. Qualifications & Experience - Bachelor's degree in Computer Science, Information Technology, or related field. - 10+ years of experience in SAP data management and integration. - Experience with data replication, ETL processes, and data warehousing. - SAP certification in Data Sphere or Data Management is a plus. Key Competencies - Analytical skills with the ability to diagnose and resolve complex data issues. - Excellent communication and collaboration skills. - Ability to work independently and manage multiple priorities. - Strong focus on data quality, performance, and security. Preferred Certifications (Optional) - SAP Certified Application Associate SAP Data Sphere - SAP Certified Technology Associate SAP HANA Cloud & Data Services - Google Cloud Certified Professional Data Engineer Qualifications BE MCA Range Of Year Experience-Min Year 8 Range Of Year Experience-Max Year 15