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Senior Solutions Architect

Job in Toms River, Ocean County, New Jersey, 08757, USA
Listing for: ClifyX
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 180000 - 220000 USD Yearly USD 180000.00 220000.00 YEAR
Job Description & How to Apply Below

Job Position
- Senior Solution Architect (Data & AI Solution Specialist)

Location
- Onsite in Primary Location
- New York or New Jersey.

Secondary
- Dallas/Charlotte/Atlanta/Raleigh

Experience - 10+ years of experience

Required VISA - USC , GC , GC-EAD

Salary
- Upto 200k/Yr + Benefits

Job Type
- Full Time
- Permanent Job

We are hiring a Senior Solution Architect (Data & AI Solution Specialist) with strong expertise in cloud-native Data & AI architecture for BFSI clients. The ideal candidate will have deep experience in AWS/Azure/GCP, Snowflake, Databricks, modern data platforms, AI/Gen AI solutions, and enterprise data modernization initiatives. This role requires strong consulting, pre-sales, architecture, stakeholder management, and solution delivery leadership experience.

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 clients. This role translates complex business requirements into winning technical solutions – leveraging modern data & AI platforms and AI/ML services on cloud – and ensures proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, Onsite teams and customer teams and client stakeholders to drive deal success and leading delivery teams for execution.

Must

Have skills :
  • 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 with depth expectations as below:
    • Deep experience on one 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 solution 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:
    Mapping out 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.…
Position Requirements
10+ Years work experience
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