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 optimization
Compare alternative architecture approaches (e.g., centralized vs distributed data platforms)
Validate cost assumptions with delivery and finance teams
3. 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
4. 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
5. 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
6. 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 8+ years’ relevant experience OR equivalent combination of education and experience
Master’s degree preferred.
Required Qualifications
Experience
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.
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