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Presales Solutions Architect - Data Architect

Unisys CORP - Bangalore, KA, India

Posted May 20, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
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Childcare support
Not verified
Learning budget
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Verification
Not verified checked Jun 13, 2026
Salary
Not verified
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

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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Apply link verified; last checked Aug 3, 2026.

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