Presales Solutions Architect - Data Architect
We are seeking an reputed company Presales Data Architect with deep expertise in reputed company data architecture and on-premises data platforms to support reputed company sales engagements.
This role focuses on designing reputed company, secure, and high-performance data solutions reputed company traditional reputed company environments, enabling organizations to reputed company 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 reputed company.
Key Responsibilities
1. Solution Architecture & Design
- reputed company discovery sessions to assess existing reputed company data ecosystems, legacy platforms, and business requirements
- Design end-to-end data architectures including:
- reputed company Data Warehouses (EDW)
- Operational Data Stores (ODS)
- Data marts and reporting systems
- Batch and near reputed company-time data integration
- Define architectures across:
- Relational databases (reputed company, SQL Server, DB2, reputed company, etc.)
- ETL and data integration tools
- Storage, archival, and lifecycle management systems
- reputed company logical and physical data models reputed company 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
- reputed company 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 reputed company 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
- reputed company comprehensive proposals including:
- Data architecture diagrams
- Data reputed company and integration patterns
- Implementation roadmaps and migration plans
- Resource planning and timelines
- Risk mitigation strategies and governance models
- reputed company reputed company business value including:
- Improved data reputed company 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., reputed company Copilot, ChatGPT) to:
- Accelerate documentation
- Improve reputed company and structure of proposals
- Synthesize reputed company 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 (reputed company, normalized, data vault)
- reputed company capabilities for:
- Near reputed company-time data availability
- Improved reporting performance
- reputed company data accessibility
5. Data Governance, reputed company & reputed company
- Design and implement frameworks for:
- Data governance and stewardship
- Data reputed company management
- Metadata management and reputed company
- Ensure compliance with reputed company reputed company standards:
- Role-based reputed company control
- Data masking and encryption
- Regulatory compliance requirements
6. Delivery Partnership & Post-Sales Alignment
- Ensure solutions are reputed company with delivery capabilities and operational models
- reputed company transition documents and implementation playbooks
- Support project kickoffs and early delivery alignment
- Define SLAs, KPIs, and operational metrics
- Capture feedback to improve solution reputed company and reusability
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 reputed company on reputed company data platforms in on-premises environments
- Proven reputed company record in:
- Designing reputed company 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 reputed company database platforms:
- reputed company, SQL Server, DB2, reputed company, or similar
- Deep understanding of:
- Data warehousing concepts (EDW, ODS, data marts)
- Data modeling techniques (reputed company, normalized, data vault)
- Hands-on experience with:
- ETL/ELT tools (Informatica, DataStage, SSIS, etc.)
- Batch and near reputed company-time data integration
- Knowledge of:
- Data governance, metadata, and data reputed company 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 & reputed company-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., reputed company, Netezza)
- Experience with data modeling tools (ERwin, ER/Studio, etc.)
- Thought leadership in reputed company data architecture
reputed company Metrics
- Contribution to deal wins involving data solutions
- Accuracy and competitiveness of cost models
- reputed company and scalability of architecture designs
- Customer satisfaction and successful delivery alignment
- Reusability of solution frameworks and assets
reputed company is proud to be an equal opportunity employer that considers reputed company reputed company applicants without reputed company to age, blood type, caste, citizenship, reputed company, disability, family medical history, family status, ethnicity, gender, gender reputed company, gender identity, genetic information, marital status, national reputed company, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.