Cloud Data & AI Architects (1147335)

The Judge Group; Minneapolis (MN); On-site; USD 170,000 - 175,000; Full time

Job summary

The Judge Group seeks a senior data architect to lead modernization of enterprise data platforms for banking and insurance clients, migrating from on-prem to cloud using Snowflake and Databricks on AWS/Azure. You will design data integration pipelines and establish governance, quality, and lineage frameworks, leveraging GenAI capabilities.

The role requires hands-on expertise with LLMs, data products, and architectural guardrails, ensuring privacy and security while guiding stakeholders through

Qualifications

• Experience designing enterprise data platforms and data lake/warehouse architectures.
• Strong background in data mesh, medallion architecture and data contracts.
• Proficient with LLMs, GenAI, prompt engineering and agent frameworks.
• Deep knowledge of data governance, metadata, lineage and privacy compliance.

Responsibilities

• Lead modernization of enterprise data platforms from on-prem to cloud for BFSI clients.
• Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure.
• Design data integration pipelines (batch and real-time) and analytics platforms.
• Define data governance, quality, metadata and lineage frameworks and leverage GenAI capabilities.
• Act as trusted advisor to senior business and IT stakeholders.

Skills

Data platforms

Data mesh

Medallion arch

LLMs & GenAI

Data governance

Cloud platforms

Snowflake & Databricks

AI strategy

Job description

Location: Minneapolis, MN

Salary: $170,000.00 USD Annually - $175,000.00 USD Annually

Fulltime

Must Have Technical/Functional Skills

• Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
• Design data integration and data pipeline patterns
• Should be able to evaluate new technologies and run proof of concepts.
• Should be able to set data and AI strategy for data organization.
• Established data Quality, lineage and metadata standards
• Ensured compliance with privacy, security and regulation
• Drives adoption of responsible AI frameworks
• Created architectural guardrails
• Drive consensus on standards (eg data contracts, lineage) across different data organizations
• Reviews design and elevate architectural thinking across teams
• Creates reusable patterns, templates and reference architectures
• Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
• Design and implement AI and Gen AI solution for data value chain
• Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
• Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
• Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
• Experience with A2A orchestration, agent memory strategies, and tool calling.
• Strong grasp of enterprise architecture, data governance, and security protocols.
• Experience with cloud platforms (Azure, AWS, GCP) and MLOps pipelines.
• Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
• Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
• Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
• Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).

Roles & Responsibilities

• Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
• Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure

Design and implement AI and Gen AI solution for data value chain

• Design data integration pipelines (batch, real-time, big data) and analytics platforms
• Define and implement data governance, quality, meta data, and lineage frameworks and should be able to leverage GenAI capabilities.
• Act as a trusted advisor to senior business and IT stakeholders

Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI).

• Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
• Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
• Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.

Generic Managerial Skills, If Any

• 15–20 years of experience in data architecture, data engineering, and analytics platforms
• Strong consulting experience in large BFSI transformation programs
• Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
• Design and implement AI and Gen AI solution for data value chain
• Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
• Experience with cloud data services in aws,azure,gcp
• Strong background in data integration, reporting, and big data ecosystems
• Experience working in regulated environments with data governance and compliance requirementsExcellent stakeholder communication and leadership skills