Senior Solution Architect (Data & AI Solution Specialist)

Remote • Posted 1 hour ago • Updated 1 hour ago
Full Time
No Travel Required
Remote
$150000 - $180000/yr
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Job Details

Skills

  • Senior Solution Architect (Data & AI Solution Specialist)

Summary

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
                                                  • Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
                                                    • Dice Id: 91097129
                                                    • Position Id: salt-80777
                                                    • Posted 1 hour ago

                                                    Company Info

                                                    About Stanley David and Associates

                                                    We strive to add value and work as true partner with our clients

                                                    Stanley David And Associates is a recruitment specialist in the area of IT and Engineering and we stay firmly in our area of expertise, doing what we love.

                                                    We know the players and the companies and invest a lot of time getting to know candidates and clients in equal measure. This ensures a swift, cost effective and perfect placement whether it s permanent or interim.

                                                    In addition we have a reputation for having the best understanding of the market landscape, for sourcing great candidates

                                                    -We have a Global Footprint with offices in 3 countries USA, UK and India.

                                                    -SDNA Global have built up an incredible reputation within the IT strategic hiring.

                                                    -We work with Tier1 and Tier 2 IT Outsourcing companies for Leadership hiring needs in UK, Europe, USA and Indian geos.

                                                    -Each SDNA member has over 5 years of experience in Talent Acquisition

                                                    -We have successfully closed roles in countries UK, USA, Germany, Sweden, Dubai, France, Netherlands, Switzerland, Austria, Hungry, Spain, Italy, Norway, Denmark, Nigeria and South Africa

                                                    -Telecom, Media and Hi-tech

                                                    -Health care and Life Sciences

                                                    -Energy and Utilities

                                                    -CPG, Retail and Transport

                                                    -Banking and Financial Services


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