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Presales Solutions Architect - Data Architect

Unisys CORP - Bangalore, KA, India

Posted May 20, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Verification
Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Weekend work
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Application

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About this role

Presales Solutions Architect - Data Architect Bangalore, KA, India Bangalore, KA, India What success looks like in this role: We are seeking an experienced Presales Data Architect with deep expertise in enterprise data architecture and on-premises data platforms to support complex sales engagements. This role focuses on designing scalable, secure, and high-performance data solutions within traditional enterprise environments , enabling organizations to modernize legacy systems, improve data governance, and enhance analytics capabilities. You will partner with sales, delivery, and customer stakeholders to shape data strategies, build compelling proposals, and deliver measurable business outcomes. Key Responsibilities 1. Solution Architecture & Design Lead discovery sessions to assess existing enterprise data ecosystems , legacy platforms, and business requirements Design end-to-end data architectures including: Enterprise Data Warehouses (EDW) Operational Data Stores (ODS) Data marts and reporting systems Batch and near real-time data integration Define architectures across: Relational databases (Oracle, SQL Server, DB2, Teradata, etc.) ETL and data integration tools Storage, archival, and lifecycle management systems Develop logical and physical data models aligned to business needs Ensure architectures meet requirements for performance, scalability, high availability, and disaster recovery Present solutions to technical and business stakeholders, linking architecture to business value 2. Cost Modeling & Financial Analysis Develop detailed cost models covering: Hardware (servers, storage, networking) Software licensing (databases, ETL, BI tools) Data processing and integration workloads Ongoing operations and support Build bottom-up estimates using: Data volumes and growth projections Workload and performance requirements Conduct ROI and TCO analysis for: Legacy modernization initiatives Platform consolidation and

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