Azure Databricks Senior Architect

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 is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Key Responsibilities

• Architectural Leadership:Lead the design of high-level data architectures inMulti-Cloudenvironments (Azure and GCP)specifically forIIoT (Industrial Internet of Things)and manufacturing execution systems.
• Industrial Data Modernization:Oversee the migration of legacy factory data systems to unified storage platforms likeHadoopandDatabricks.
• Smart Manufacturing Insights:Build visualization frameworks inTableauto track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.
• Predictive Analytics:UtilizeSpark,PySpark, andPythonto develop models for predictive maintenance and demand forecasting.
• End-to-End Delivery: Manage the fullSDLCfor high-impact projects, ensuring data integrity and security across global manufacturing sites.
• Strategic Mentorship:Guide technical teams across onshore and offshore models, fostering excellence in data engineering and industrial AI.

Qualifications

• Manufacturing Domain Expertise:Proven experience applying data solutions to manufacturing challenges, such as inventory optimization, shop-floor automation, or digital twins.
• Extensive IT Background:Over 18+ years of experiencewith a strong focus onBig Dataecosystems includingHadoop, Hive, and Spark.
• Cloud Mastery:Deep expertise inAzureandGCP, supported by certifications in Data Engineering and Architecture.
• Technical Depth:Hands‑on proficiency withInformatica,Kubernetes, and advancedSQLfor complex data exploration.
• Education:A Master’s Degree inSoftware Engineering.
• Analytical Skills: Strong data processing and ETL experience usingPython (NumPy/Pandas).

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.