Senior SAP HANA Data Architect

INSPYR Solutions

Delhi, DL(remote)

JOB DETAILS
SALARY
SKILLS
Acceptance Testing, Architectural Design, Architectural Services, Artificial Intelligence (AI), Automation, Business Case, Business Intelligence, Cobol Programming Language, Cross-Functional, Data Analysis, Data Migration, Data Modeling, Data Structures, Data Warehousing, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Design Patterns Programming Methodologies, Ecosystems, Integration Testing, Mainframe Computer, Mentoring, Metadata, Oracle, Performance Analysis, Performance Modeling, Performance Tuning/Optimization, Professional Services, Quality Assurance, Requirements Management, Root Cause Analysis, SAP, SQL (Structured Query Language), Technical Delivery, Technical/Engineering Design, Testing, Use Cases, Warehousing
LOCATION
Delhi, DL(remote)
POSTED
1 day ago
Title: Senior SAP HANA Data Architect 
Location: India Remote
Duration: 6 Month contract
Compensation: $26.00/hr

Senior SAP HANA Data Architect 

Role Summary
  • We are seeking a Senior SAP HANA Data Architect with 10+ years of enterprise data engineering and architecture experience. This role will support our modernization effort to transition from legacy data warehouse and mainframe environments into a unified SAP HANA–based data platform.
  • The ideal candidate brings strong data architecture expertise, deep knowledge of HANA modeling practices, and experience translating legacy logic into scalable, modern data models. This is both a strategic and hands-on role that directly impacts delivery timelines for our DW sunset initiative.

Key Responsibilities
SAP HANA Data Architecture & Modeling
  • Design and implement HANA-native data models aligned with enterprise data standards.
  • Analyze legacy data structures (Mainframe, COBOL, Oracle) and redesign them effectively within HANA.
  • Establish reusable design patterns, modeling guidelines, and metadata standards for the BI team.
  • Ensure models support high-performance analytical and reporting use cases across business functions.

Legacy Data Warehouse Migration
  • Interpret and translate COBOL/mainframe business logic, copybooks, and flat-file layouts into structured HANA models.
  • Partner with ETL and backend teams to modernize existing pipelines and align logic with HANA platform capabilities.
  • Support the strategic roadmap for decommissioning legacy systems and consolidating logic into HANA.
  •  
Automation & Optimization
  • Identify opportunities to reduce manual modeling effort through templates, metadata-driven modeling, or automation tools.
  • Collaborate with automation developers to streamline model creation, deployment, and validation processes.
  • Improve overall efficiency of the DW migration program by proposing architectural enhancements and automation pathways.

Validation & Quality Assurance
  • Define validation frameworks to verify that HANA outputs align with legacy warehouse results.
  • Lead root-cause analysis for data discrepancies and coordinate fixes across ETL and modeling layers.
  • Support end-to-end testing cycles including SIT, UAT, and integration testing.

Collaboration & Leadership
  • Work closely with BI, ETL, and application teams to translate business requirements into HANA-based solutions.
  • Provide senior-level architectural guidance and mentorship to developers.
  • Participate in cross-functional design discussions and contribute to long-term data platform strategy.


Required Experience
  • 10+ years in data architecture, data engineering, or BI development roles.
  • Strong hands-on experience with SAP HANA modeling, performance tuning, and architectural design.
  • Experience translating legacy platform logic (COBOL, mainframe, Oracle) into modern HANA structures.
  • Deep expertise in SQL, enterprise data modeling, and understanding of large-scale data ecosystems.
  • Proven ability to work in complex environments with multiple stakeholders and tight timelines.


Preferred Experience
  • Experience in large-scale data warehouse modernization or sunset initiatives.
  • Familiarity with metadata-driven design, automation, or code generation frameworks for data modeling.
  • Experience in environments requiring strong lineage, auditability, and data governance.

Role Expectations
  • Operate independently and drive architectural decisions.
  • Contribute directly to the success of the Legacy DW Sunset program.
  • Ensure HANA models are accurate, scalable, maintainable, and ready for long-term enterprise use.
  • Bring clarity, structure, and consistency to the BI and data modeling landscape.
About INSPYR Solutions
 
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
 

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