T

Tiger Analytics

Delivers Data and AI transformation

Azure Databricks Senior Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeLos Angeles, CA, USANo salary listedIn-person

About the Job

Requirements

  • Proven experience applying data solutions to manufacturing challenges, such as inventory optimization, shop-floor automation, or digital twins.
  • Over 18 years of experience with a strong focus on big data ecosystems, including Hadoop, Hive, and Spark.
  • Deep expertise in Azure and Google Cloud Platform, supported by certifications in Data Engineering and Architecture.
  • Hands-on proficiency with Informatica, Kubernetes, and advanced SQL for complex data exploration.
  • A Master's Degree in Software Engineering.
  • Strong data processing and extract, transform, and load experience using Python, NumPy, and pandas.

Responsibilities

  • Lead the design of high-level data architectures in multi-cloud environments (Azure and Google Cloud Platform), specifically for Industrial Internet of Things and manufacturing execution systems.
  • Oversee the migration of legacy factory data systems to unified storage platforms such as Hadoop and Databricks.
  • Build visualization frameworks in Tableau to track Overall Equipment Effectiveness, supply chain bottlenecks, and production quality metrics.
  • Use Spark, PySpark, and Python to develop models for predictive maintenance and demand forecasting.
  • Manage the full software development lifecycle for high-impact projects, ensuring data integrity and security across global manufacturing sites.
  • Guide technical teams across onshore and offshore models, fostering excellence in data engineering and industrial AI.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

Recently Posted Jobs

Explore more opportunities at Tiger Analytics

See more jobs