Cloud Data Architect

Cloud Data Architect

Minneapolis or Dallas

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, metadata, and line age 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

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