Senior Azure Databricks Architect for Industrial AI

Tiger Analytics, LLC; Los Angeles (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Tiger Analytics, LLC is seeking an experienced professional to lead data architecture and modernization efforts within the manufacturing sector. You will utilize cutting-edge AI and advanced analytics to address complex challenges in manufacturing, such as predictive maintenance and inventory optimization. The ideal candidate has extensive experience in Big Data ecosystems and cloud platforms like Azure and GCP, alongside a Master's in Software Engineering. Join a fast-growing team and shape the future of enterprise AI.

Qualifications

• Proven experience applying data solutions to manufacturing challenges.
• Over 18+ years of IT experience focusing on Big Data ecosystems.
• Deep expertise in Azure and GCP with relevant certifications.
• Hands-on proficiency in Informatica, Kubernetes, and advanced SQL.
• Strong data processing and ETL experience using Python.

Responsibilities

• Lead the design of high-level data architectures in Multi-Cloud environments.
• Oversee migration of legacy data systems to unified storage platforms.
• Build visualization frameworks to track production metrics.
• Develop models for predictive maintenance and demand forecasting.
• Manage the full SDLC for high-impact projects.
• Guide technical teams across onshore and offshore models.

Skills

Manufacturing Domain Expertise

Big Data ecosystems

Azure

GCP

Informatica

Kubernetes

Advanced SQL

Python (NumPy/Pandas)

Education

Master’s Degree in Software Engineering

Tools

Hadoop

Hive

Spark

Databricks

Tableau

Job description

Tiger Analytics, LLC is seeking an experienced professional to lead data architecture and modernization efforts within the manufacturing sector. You will utilize cutting-edge AI and advanced analytics to address complex challenges in manufacturing, such as predictive maintenance and inventory optimization. The ideal candidate has extensive experience in Big Data ecosystems and cloud platforms like Azure and GCP, alongside a Master's in Software Engineering. Join a fast-growing team and shape the future of enterprise AI.