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 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. #J-18808-Ljbffr