Job Description

Hi

Hope you are doing well !!

I have an urgent position. Kindly go through the Job description and let me know if this would be of interest to you.

Title : Senior SAP HANA Data Architect (Remote)

Duration : 15 Dec 2025 - 31 Mar 2026

Location : Remote, PA

About the job

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.

If you are interested, please share your updated resume and suggest the best number & time to connect with you

Thanks & Regards

Himanshu Gupta
US IT RECRUITER, DMS VISIONS INC

(972) 433-0229 Ext-104| dmsvisions.com

[email protected]

LinkedIn: linkedin.com/in/himanshu-gupta-1888a1207

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