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Senior Data & AI Solutions Architect

Job

Purplejack Technologies LLC

Remote

Full-Time

Posted 3 days ago (Updated 18 hours ago) • Actively hiring

Expires 7/24/2026

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Job Description

JOB DESCRIPTION
|
Senior Data & AI Solutions Architect Job Overview Title:
Senior Data & AI Solutions Architect Location:
New Haven, CT Work Mode:
Hybrid-C2
H Experience Required:
12+
Years Domain Preference:
Financial Services /
Enterprise Data Platforms Key Skills:
Snowflake, Gen
AI, RAG, DB2
Migration, Azure AI Core Responsibilities
  • Define and govern enterprise Data & AI architecture across legacy, cloud, and AInative platforms
  • Architect hybrid data integration across mainframe, DB2, Snowflake, Postgres, Talend, and event streaming
  • Design and deliver LLM and agentic AI solutions using Snowflake Cortex,Azure AI Foundry, Azure OpenAI Service, Copilot Studio, and orchestration frameworks
  • Establish RAG, vector database, and embedding strategies for enterprise research and analytics
  • Coordinate the continual modernization of ETL and Lakehouse architecture
  • Enable Snowflake governance: RBAC, dynamic masking, rowlevel security, encryption
  • Ensure compliance with OSFI, SOX, NAIC, PIPEDA/GDPR, SEC/state insurance regulations
  • Partner with business, risk, compliance, legal, IT, Information Security and vendors as the lead technical advisor
Skills Required:
  • 3+ years hands on Snowflake experience (Snowpark, Cortex, data sharing)
  • 3+ years delivering production LLM / GenAI solutions (RAG, agents, finetuning)
  • Proven legacy to cloud migration experience involving IBM DB2 or equivalent
  • Experience with Talend, modern data integration, and real time ingestion
  • Knowledge of relational (e.g., PostgreSQL), NoSQL, NewSQL, and vector/LLM databases
  • Demonstrated experience with legacy-to-cloud data migration involving IBM DB2 or equivalent mainframe/relational systems
  • Proven delivery of agentic AI systems or multi-model orchestration pipelines in enterprise environments
Education:
  • 12+ years in data architecture, data engineering, or enterprise architecture
  • 5+ years in financial services (life insurance, annuities, investments preferred)