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 n us to do great work and shape the future of enterprise AI.

• Architectural Leadership:Lead the design of high-level data architectures in Multi-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 like
  
  Hadoopand
  
  Databricks.
• Smart Manufacturing Insights:Build visualization frameworks in Tableauto track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.
• Predictive Analytics:Utilize Spark,PySpark, and Pythonto 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.

• 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 onBig Data ecosystems including
  
  Hadoop, Hive, and Spark.
• Cloud Mastery:Deep expertise inAzureandGCP, supported by certifications in Data Engineering and Architecture.
• Technical Depth:Hands‑on proficiency with Informatica,Kubernetes, and advancedSQLfor complex data exploration.
• Education:A Master’s Degree in Software Engineering.
• Analytical Skills
  :
  Strong data processing and ETL experience using
  
  Python (Num Py/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.