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Senior Solution Architect (Data & AI Solution Specialist)

Stanley David and AssociatesUnited States🇺🇸United StatesPosted 28 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

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
                                                  • Skills

                                                    AWS
                                                    MLOps
                                                    Machine Learning
                                                    Snowflake
                                                    Apache
                                                    Azure
                                                    BigQuery
                                                    Databricks
                                                    GDPR
                                                    Generative AI
                                                    Google Cloud
                                                    HIPAA
                                                    Kafka
                                                    Stakeholder Management
                                                    Vault
                                                    dbt

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