Cloud Data Architect (multiple openings) (1151557)

The Judge Group; Huntington Park (CA); On-site; USD 170,000 - 175,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Retirement savings plan with company 2

Paid time off and holidays

Job summary

The Judge Group is seeking a Cloud Data Architect to lead the modernization of enterprise data platforms from on-prem to cloud for banking and insurance clients. The role requires designing scalable solutions using Snowflake and Databricks on AWS and Azure, and shaping data governance, quality, and security frameworks.

You will architect AI and Gen AI solutions across the data value chain, leverage LLMs and vector databases, and drive standardized patterns and memory-aware retrieval pipelines

Qualifications

• Architect enterprise data platforms for data lake, Lakehouse and streaming systems.
• Design data integration and data pipeline patterns.
• Evaluate new technologies and run proof of concepts.
• Set data and AI strategy for data organization.
• Establish data quality, lineage and metadata standards.
• Ensure privacy, security and regulatory compliance.
• Drive adoption of responsible AI frameworks.
• Create architectural guardrails and reusable patterns.
• Lead standards across data organizations.
• Review designs and elevate architectural thinking.

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 data integration pipelines (batch, real-time, big data) and analytics platforms.
• Define and implement governance, quality, metadata and lineage frameworks including GenAI capabilities.
• Advise senior business and IT stakeholders, architect AI ecosystems with LLMs, vector DBs and orchestration.
• Define MCPs to chain reasoning, retrieval and actions; design A2A communication protocols and RAG pipelines.

Skills

Data architecture

Data governance

AI strategy

LLMs

Prompt engineering

LangChain

AutoGen

CrewAI

RAG pipelines

Vector databases

MLOps

Python

Cloud platforms

Snowflake

Databricks

AWS

Azure

GCP

FAISS

Pinecone

Weaviate

ML models & frameworks

Data mesh

Medallion Architecture

Security & privacy

ReAct

Tree of Thought

AutoGPT

Tools

Snowflake

Databricks

AWS

Azure

GCP

LangChain

AutoGen

CrewAI

OpenAI APIs

Anthropic Claude

FAISS

Pinecone

Weaviate

Job description

Location: Huntington Park, CA
Salary: $170,000.00 USD Annually - $175,000.00 USD Annually
Description
Cloud Data Architect
Los Angeles, CA / Dallas, TX / Chicago, IL
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 requirements
• Excellent stakeholder communication and leadership skills

Comprehensive benefits package including medical, dental, and vision coverage, retirement savings plan with company contribution, paid time off, holidays, and opportunities for professional growth and career development. Additional benefits and perks will be discussed during the interview process.