READ CAREFULLY BEFORE APPLYING | URGENT HIRING
ROLE: Lead Data Engineer – Hands-On
Client: MetLife
Location: Cary, NC — On-site / Hybrid
Experience: 12–18 Years
Employment Type: Full-Time
Eligibility: US CITIZENS ONLY
ABOUT THE ENGAGEMENT
The engagement involves building a centralized, AI-first enterprise Data Hub for a global insurance and financial services organization using Azure Databricks .
The platform ingests 150+ inbound data feeds and distributes data to 35+ downstream systems , leveraging a Medallion Architecture — Bronze / Silver / Gold .
AI is embedded across ingestion, canonical mapping, data quality, reconciliation, and business-user access.
This is a senior hands-on technical leadership role . The selected candidate will own the end-to-end technical design of the data and AI layers , build reference implementations, mentor engineering teams, and continue writing/reviewing production-grade Python, Scala, and PySpark code every week .
⚠️ Candidates who have NOT written or reviewed production code within the past year will NOT be considered.
WHAT YOU WILL OWN
Data Platform Architecture & Engineering
Metadata-Driven Ingestion
Spark & Data Engineering
Databricks & Azure
CI/CD & Infrastructure as Code
AI / LLM ENGINEERING
A major component of this role is designing and delivering production-grade AI/LLM solutions .
You will work on:
LLM / GENAI MUST-HAVES
Candidates must have 3+ years of hands-on experience designing and shipping LLM-based systems in production , including:
Hands-on experience with at least one of:
Provider/platform experience:
SECURITY, GOVERNANCE & DATA PROTECTION
Strong enterprise security and governance experience is required across:
The candidate will also participate in:
MUST-HAVE TECHNICAL SKILLS
✅ 12–18 years of total experience in Data Engineering / Data Platform delivery
✅ Expert-level Python
✅ Expert-level Scala
✅ Expert-level PySpark / Spark
✅ Strong SQL
✅ Data modelling — dimensional & normalized
✅ Data contracts & schema design
✅ Azure Databricks
✅ Delta Lake
✅ Unity Catalog
✅ Azure ADLS Gen2
✅ Azure Data Factory
✅ Azure Event Hubs
✅ Kafka / Spark Structured Streaming
✅ Databricks Jobs & Workflows
✅ Spark performance tuning
✅ Azure DevOps
✅ Terraform
✅ Databricks Asset Bundles
✅ CI/CD
✅ Metadata-driven frameworks
✅ Data profiling & lineage
✅ Enterprise Lakehouse / Medallion Architecture
✅ Azure security & governance
✅ 3+ years production LLM/GenAI engineering
✅ RAG / Agentic AI / Tool Calling
✅ LangChain / LlamaIndex / LangGraph
✅ Azure OpenAI / OpenAI / Databricks Model Serving
⭐ STRONGLY PREFERRED
CERTIFICATIONS — PLUS
IDEAL CANDIDATE PROFILE
We are looking for a hands-on Lead Data Engineer / Data Architect / Principal Data Engineer who can operate at both architecture and engineering levels .
You should be comfortable designing the architecture, making technical decisions, writing production code, reviewing code, troubleshooting Spark workloads, mentoring engineers, and presenting architecture decisions to senior technical and business stakeholders.
⚠️ This is NOT a pure Data Architect, Solution Architect, Engineering Manager, or AI Strategy role.
⚠️ Recent hands-on production coding experience is mandatory.
⚠️ US CITIZENS ONLY.
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