Presales Solutions Architect - Data & AI

What success looks like in this role:

We are seeking an experienced Presales Architect - Applications 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.

• 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

• 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 optimization

Compare alternative architecture approaches (e.g., centralized vs distributed data platforms)

Validate cost assumptions with delivery and finance teams

• Technical Proposal Development

Develop comprehensive proposals including: Data architecture diagrams

Data flow and integration patterns

Implementation roadmaps and migration plans

Resource planning and timelines

Risk mitigation strategies and governance models

Clearly articulate business value including: Improved data quality and reliability

Faster reporting and analytics

Operational efficiency and cost savings

Collaborate with delivery, engineering, and finance teams to ensure feasibility

Use GenAI tools (e.g., Microsoft Copilot, ChatGPT) to: Accelerate documentation

Improve clarity and structure of proposals

Synthesize complex requirements

• Data Modernization & Transformation

Define strategies for: Legacy data warehouse modernization

Data platform consolidation

ETL optimization and re-engineering

Data archival and lifecycle management

Recommend approaches such as: Replatforming to modern database systems

Data model redesign (dimensional, normalized, data vault)

Enable capabilities for: Near real-time data availability

Improved reporting performance

Better data accessibility

• Data Governance, Quality & Security

Design and implement frameworks for: Data governance and stewardship

Data quality management

Metadata management and lineage

Ensure compliance with enterprise security standards: Role-based access control

Data masking and encryption

Regulatory compliance requirements

• Delivery Partnership & Post-Sales Alignment

Ensure solutions are aligned with delivery capabilities and operational models

Develop transition documents and implementation playbooks

Support project kickoffs and early delivery alignment

Define SLAs, KPIs, and operational metrics

Capture feedback to improve solution quality and reusability

#LI-SS1

You will be successful in this role if you have:

BA/BS degree and 10+ years’ relevant experience OR equivalent combination of education and experience

Master’s degree preferred.

8–12 years of experience in data architecture, data engineering, or presales consulting

Minimum 5 years focused on enterprise data platforms in on-premises environments

Proven track record in: Designing enterprise data solutions

Supporting and influencing large deals

Building cost models and ROI justifications

Experience in RFP responses and technical proposal development

Technical Expertise

Strong experience with enterprise database platforms: Oracle, SQL Server, DB2, Teradata, or similar

Deep understanding of: Data warehousing concepts (EDW, ODS, data marts)

Data modeling techniques (dimensional, normalized, data vault)

Hands-on experience with: ETL/ELT tools (Informatica, DataStage, SSIS, etc.)

Batch and near real-time data integration

Knowledge of: Data governance, metadata, and data quality tools

Performance tuning and query optimization

Experience with: High availability, backup, and disaster recovery strategies

Familiarity with BI/reporting tools (Power BI, Tableau, Cognos, etc.)

Proficiency in using GenAI tools for presales productivity and documentation

Business & Soft Skills

Strong ability to translate data architecture into business value

Excellent communication and presentation skills

Consultative approach to discovery and problem-solving

Ability to manage multiple presales opportunities

Strong collaboration across cross-functional teams

Financial acumen in cost modeling and ROI analysis

Certifications & Nice-to-Haves

Certifications in database technologies or data management

Knowledge of frameworks such as DAMA-DMBOK

Experience in system integrators or managed services environments

Familiarity with MPP or appliance-based data systems (e.g., Teradata, Netezza)

Experience with data modeling tools (ERwin, ER/Studio, etc.)

Thought leadership in enterprise data architecture

Success Metrics

Contribution to deal wins involving data solutions

Accuracy and competitiveness of cost models

Quality and scalability of architecture designs

Customer satisfaction and successful delivery alignment

Reusability of solution frameworks and assets

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.

If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com . US job seekers can find more information about Unisys’ EEO commitment here .