Azure Databricks Senior Architect
Tiger Analytics
Los Angeles, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Los Angeles, United States of America
Tech stack
Artificial Intelligence
Data analysis
Azure
Big Data
Cloud Computing
Data Architecture
Information Engineering
ETL
Data Transformation
Data Systems
Hadoop
Hive
Python
NumPy
Systems Development Life Cycle
Software Engineering
SQL Databases
Tableau
Data Processing
Spark
Multi-Cloud
Pandas
PySpark
Kubernetes
Databricks
Job description
- 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
Do you have experience in SQL databases?, Do you have a Master's degree in software engineering?, * 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 & conditions
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.
About the company
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.