Senior Data Platform Architect & AI Leader

Realign Llc; Los Angeles (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Realign Llc seeks an experienced Senior Engineering Lead Analyst to drive data platform modernization from on-prem to cloud across banking and insurance clients. You will architect scalable solutions using Snowflake and Databricks on AWS and Azure, and design AI/GenAI data value chains with LLMs and vector databases.

The role requires deep knowledge of data governance, data mesh and Medallion architecture, plus hands-on Python and cloud ML pipelines.

Qualifications

• 15+ 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

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 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).

Skills

Data architecture

Data mesh

Medallion Architecture

LLMs

Python

Cloud platforms

MLOps

Education

Bachelor's degree in CS or related field

Tools

Snowflake

Databricks

LangChain

AutoGen

Pinecone

Weaviate

Job description

Realign Llc seeks an experienced Senior Engineering Lead Analyst to drive data platform modernization from on-prem to cloud across banking and insurance clients. You will architect scalable solutions using Snowflake and Databricks on AWS and Azure, and design AI/GenAI data value chains with LLMs and vector databases.

The role requires deep knowledge of data governance, data mesh and Medallion architecture, plus hands-on Python and cloud ML pipelines.