Job Title: Senior Solution Architect (Data & AI Solution Specialist)
Location: NJ/NYC / Dallas, TX / Charlotte, NC / Atlanta, GA / Chicago, IL
Employment Type: Full-time
Job Description:
Experience Required: 15+ Years
Senior Solution Architect (Data & AI Solution Specialist)
Must Have Technical/Functional Skills
A Senior Solution Architecture Specialist focused on designing and championing cloud-native Data & AI solutions for Banking, Financial Services, and Insurance (BFSI) clients. This role translates complex business requirements into winning technical solutions by leveraging modern Data & AI platforms and AI/ML services on the cloud. The Solution Specialist works closely with the Data & AI Practice, onsite teams, customer teams, and client stakeholders to drive deal success while leading delivery teams during execution.
Required Experience
- 15+ years of experience in:
- Data Architecture
- Data Engineering
- Analytics Platforms
Strong consulting experience in large BFSI transformation programs. Hands-on experience preparing: Data & Analytics Solution Architectures Client presentations Proofs of Concept (PoCs) Experience designing and implementing AI and Generative AI solutions across the data value chain. Strong understanding and implementation experience with: Data Products Data Mesh Medallion Architecture Strong background in: Data Integration Reporting Big Data Ecosystems Experience working in regulated environments with data governance and compliance requirements. Excellent stakeholder management, communication, and leadership skills. Technical Skills
- Deep expertise in one or more cloud platforms:
- AWS
- Microsoft Azure
- Google Cloud Platform (Google Cloud Platform)
Deep expertise in one or more modern data platforms: Snowflake Databricks Experience with: Apache Iceberg dbt Open-source enterprise data technologies Experience designing enterprise data architectures using open-source technologies. Roles & Responsibilities
Client Consulting & Opportunity Shaping
- Lead workshops and consulting sessions with business and IT stakeholders.
- Identify opportunities in:
- Data Modernization
- Advanced Analytics
- AI/ML
- Regulatory Compliance
Translate business objectives into scalable Data & AI use cases and solution approaches. Solution Architecture & Design
- Design end-to-end cloud-native Data & AI architectures covering:
- Data Ingestion
- Data Lakes
- Data Warehouses
- Data Integration
- Data Transformation
- Data Products
- Processing Pipelines
- Analytics Dashboards
- Machine Learning and AI Platforms
Ensure architectures meet requirements for: Scalability Security Performance Resilience Regulatory Compliance End-to-End System Design
- Design complete technical data lifecycles, including:
- Pipeline Orchestration
- Data Warehousing
- API Integrations
Technology Selection
- Evaluate and recommend technology stacks, including:
- AWS
- Azure
- Google Cloud Platform
- Snowflake
- BigQuery
- Kafka
- Other modern cloud data services
Data Modeling
- Design:
- Conceptual Data Models
- Logical Data Models
- Physical Data Models
Implement modeling approaches such as: Data Vault Star Schema Security & Governance
- Design enterprise data security and governance frameworks covering:
- Data Privacy
- Access Control
- GDPR Compliance
- HIPAA Compliance
- Metadata Management
- Data Lineage
- Data Quality
Consulting Leadership
- Own the technical solution for consulting engagements and RFP responses.
- Develop and present:
- Solution Architecture
- Methodology
- Delivery Plan
- Value Proposition
Contribute to: Effort Estimation Pricing Business Value Analysis Differentiate organizational Data & AI capabilities during proposal development. Demonstrations & Proof of Concept (PoC)
- Design and deliver:
- Demonstrations
- Proofs of Concept
- Prototypes
Utilize cloud data platforms and AI services. Build BFSI-focused use cases including: Fraud Detection Customer 360 Regulatory Reporting Collaboration & Handover
- Collaborate with:
- Sales Teams
- Delivery Managers
- Domain Consultants
- Cloud Partners
Ensure proposed solutions are deliverable. Support smooth transition from sales to delivery. Guide delivery teams on architecture decisions and client expectations. Enterprise Data Modernization
- Lead enterprise data platform modernization initiatives from on-premises to cloud environments for Banking and Insurance clients.
- Architect scalable enterprise data platforms using:
- Snowflake
- Databricks
- AWS
- Azure
- Google Cloud Platform
Data Engineering & Analytics
- Design:
- Batch Data Pipelines
- Real-Time Data Pipelines
- Big Data Processing Platforms
- Enterprise Analytics Platforms
Enable enterprise reporting and Business Intelligence solutions for regulatory and business requirements. AI & Generative AI
- Design and implement AI and Generative AI solutions across the enterprise data value chain.
Governance & Architecture Reviews
- Define and implement:
- Data Governance
- Data Quality
- Metadata Management
- Data Lineage Frameworks
Participate in Data Analytics architecture and delivery reviews. Recommend architectural improvements and best practices. Leadership & Mentoring
- Serve as a trusted advisor to senior business and IT stakeholders.
- Mentor junior Solution Architects and engineering teams.
- Contribute reusable:
- Reference Architectures
- Accelerators
- Best Practice Guides
Support solutioning, pre-sales activities, and proposal development. Stay current with emerging technologies, including: Data Lakehouse DataOps MLOps Generative AI Cloud-native Data Platforms