Cloud Data Architect (multiple openings)

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, Google Cloud Platform) 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,Google Cloud Platform
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.

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