Azure Databricks Senior Architect

Azure Databricks Senior Architect Tiger Analytics Inc. - 3.8 Los Angeles, CA Job Details Full-time 5 hours ago Qualifications Azure SQL databases Kubernetes Master's degree SQL Master's degree in software engineering Manufacturing Informatica Manufacturing company experience Full 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 in Multi-Cloud environments (Azure and GCP) specifically for IIoT (Industrial Internet of Things) and manufacturing execution systems.

Industrial Data Modernization:

Oversee the migration of legacy factory data systems to unified storage platforms like Hadoop and Databricks.

Smart Manufacturing Insights:

Build visualization frameworks in Tableau to track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.

Predictive Analytics:

Utilize Spark, PySpark, and Python to develop models for predictive maintenance and demand forecasting.

End-to-End Delivery :

Manage the full SDLC for 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.

Requirements 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 experience with a strong focus on Big Data ecosystems including Hadoop, Hive, and Spark.

Cloud Mastery:

Deep expertise in Azure and GCP , supported by certifications in Data Engineering and Architecture.

Technical Depth:

Hands-on proficiency with Informatica , Kubernetes , and advanced SQL for complex data exploration.

Education:

A Master's Degree in Software Engineering.

Analytical Skills :

Strong data processing and ETL experience using Python (NumPy/Pandas). Benefits 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.