Azure Databricks Senior Architect

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.