Senior Engineering Lead Analyst-2

Role Overview

Location

• The description lists Los Angeles, Dallas, and Chicago as onsite locations.

Technical Skills

• Architect enterprise data platforms for data lakes, Lakehouses, and streaming systems.
• Design data integration and data pipeline patterns.
• Establish data quality, lineage, and metadata standards.
• Design and implement AI and generative AI solutions for the data value chain.
• Use LLMs, prompt engineering, LangChain, AutoGen, CrewAI, vector databases, and agent orchestration.
• Use Python, OpenAI APIs, Anthropic Claude, and vector databases including FAISS, Pinecone, and Weaviate.
• Work with cloud platforms including AWS, Azure, and GCP, as well as MLOps pipelines.
• Apply data governance, enterprise architecture, privacy, security, and compliance practices.

Roles and Responsibilities

• Lead enterprise data platform modernization from on-premises environments to cloud platforms for banking and insurance clients.
• Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure.
• Design batch, real-time, and big data integration pipelines and analytics platforms.
• Define and implement data governance, quality, metadata, and lineage frameworks.
• Act as a trusted advisor to senior business and IT stakeholders.
• Architect agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks.
• Define Model Context Protocols and Agent-to-Agent communication protocols.
• Implement retrieval-augmented generation pipelines with memory, context management, and tool usage.

Experience and Qualifications

• 15–20 years of experience in data architecture, data engineering, and analytics platforms.
• Strong consulting experience in large banking, financial services, and insurance transformation programs.
• Hands-on expertise with Snowflake and Databricks Lakehouse architecture.
• Experience with cloud data services across AWS, Azure, and GCP.
• Experience working in regulated environments with data governance and compliance requirements.
• Excellent stakeholder communication and leadership skills.