SAP HANA Architect with Azure and Blob Storage - W2

Summary: The role of SAP HANA Architect with Azure and Blob Storage involves leading the migration and integration of SAP HANA datasets into Azure Data Lake Storage, ensuring efficient data flow and accessibility. The architect will design scalable data lake environments on Azure and collaborate with cross-functional teams to align data architecture with business objectives. This position requires extensive experience in enterprise architecture, particularly with SAP HANA and Azure services, to facilitate self-service analytics and data orchestration. The role is remote and classified as outside IR35.

Key Responsibilities:

• Lead the migration and integration of SAP HANA datasets into Azure Data Lake Storage, ensuring seamless data flow and accessibility across business units
• Architect scalable, secure, and high-performance data lake environments on Azure, leveraging best practices for data tiering and cold storage to optimize cost and performance
• Enable query federation and transparent access to both hot (in-memory) and cold (Azure Data Lake/Blob Storage) data using SAP HANA Smart Data Access and SAP Data Intelligence
• Collaborate with cross-functional teams including IT, business stakeholders, and offshore teams to align data architecture strategies with business objectives and facilitate self-service analytics
• Design and orchestrate data pipelines using SAP Data Intelligence, Azure Data Factory, and related tools to automate data movement, transformation, and storage from SAP HANA to Azure Data Lake and Blob Storage

Key Skills:

• 10+ years of experience in enterprise architecture, with a strong focus on data architecture, SAP HANA, XSA and cloud-based solutions.
• Expertise in Microsoft Azure Data Lake Storage and related Azure services.
• Proven experience with SAP HANA data structures, data tiering, and integration with Azure cold storage solutions.
• Proficiency in HANA Modeling and SQL Script along with good exposure to HANA XSA with good expertise in performance optimizations
• Experience with SAP Data Intelligence, SAP IQ, and SAP HANA Smart Data Access for data orchestration and federation
• Strong understanding of Database architecture, ETL/ELT processes, and data warehousing principles.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate across business and technical teams
• Bachelor s or master s degree in computer science, Information Technology, or a related field

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT