# Azure Databricks Senior Architect at Tiger Analytics

> United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/workable%3Atiger-analytics%3A795BEAA65E (read 2026-11-05).

## Facts (observed)

- Company: [Tiger Analytics](https://alderhq.app/companies/tiger-analytics)
- Location text: Los Angeles, California, United States
- Where it can be done from (inferred): United States (evidence: "Location: Los Angeles, California, United States")
- Posted: 2026-05-08 (182 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://apply.workable.com/j/795BEAA65E
- Skills listed (inferred): Python, GCP, Azure, Kubernetes, Spark, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Los Angeles, n 163): p25 $182k, median $193k, p75 $205k

## Description (the employer's text)

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.

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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/workable%3Atiger-analytics%3A795BEAA65E and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.