Senior Solution Architect

Overview

Location: Edison, NJ

Salary: $ USD Annually - $ USD Annually

Description

Senior Solution Architect (Data & AI Solution Specialist BFSI) — Primary location: NJ/NYC;
Secondary locations:
Dallas, Charlotte, Atlanta, Raleigh. Full-time. Must have technical/functional skills focused on designing and championing cloud-native Data & AI solutions for Banking, Financial Services, and Insurance clients. This role translates complex business requirements into technical solutions leveraging modern data & AI platforms and AI/ML services on cloud, ensuring proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, onsite teams, client stakeholders, and delivery teams to drive deal success and lead delivery teams for execution.

• 15+ years of experience in data architecture, data engineering, and analytics platforms
• Experience across AWS, GCP, Azure, Snowflake, Databricks, Iceberg, dbt and Open source tech based data services
• Deep experience on one or more of AWS, GCP, Azure
• Deep experience in Snowflake or Databricks with usage of open source extensions like Iceberg, dbt
• Experience in open-source technologies based Enterprise Data architecture
• Strong consulting experience in large BFSI transformation programs
• Hands-on experience with preparation for Data Analytics Solution architecture, client presentations and proof of concepts development
• Design and implement AI and Gen AI solutions for data value chain
• Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation
• Strong background in data integration, reporting, and big data ecosystems
• Experience working in regulated environments with data governance and compliance requirements
• Excellent stakeholder communication and leadership skills

• Client Consulting & Opportunity Shaping:
  Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernization, advanced analytics, AI/ML, and regulatory compliance. Translate business objectives (e.g. enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches.
• Solution Architecture & Design:
  Develop end-to-end cloud-native data & AI architectures — spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms. Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards.
• End-to-End System Design:
  Map the precise technical lifecycle of data, including pipeline orchestration, data warehousing, and API integrations
• Technology Selection:
  Vetting and selecting the optimal tech stack, such as specific cloud services (e.g., AWS, Azure, GCP), data warehouses (e.g., Snowflake, Big Query), or streaming engines (e.g., Kafka)
• Data Modeling:
  Designing detailed conceptual, logical, and physical data models (like Data Vaults or Star Schemas) to ensure optimal query performance and data integrity.
• Security & Governance:
  Baking strict data privacy, compliance (e.g., GDPR, HIPAA), and access control frameworks directly into the architecture.
• Consulting Leadership:
  Own the technical solution in consulting opportunities and RFP responses. Write and present the solution overview, methodology, delivery plan, and value proposition. Quantify business benefits (e.g. faster time-to-insight, cost savings through cloud, improved compliance through better data governance) and contribute to pricing and effort estimates.
• Demonstrations & Proof of Concept (PoC):
  Create and deliver impactful demos, proofs-of-concept, and prototypes using cloud data platforms (data integration, transformation and data products) and AI services to validate solution feasibility and value. Tailor demo scenarios to BFSI use cases (like fraud detection, customer 360 analytics, regulatory reporting) to build client confidence.
• Collaboration & Handover:
  Work closely with internal teams – sales,…