Tiger Analytics
via Workable
Principal Architect - Databricks
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 89d ago
The date the source published, not the day we noticed it (2026-06-18). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $195.3k–255k/yr
Middle 50% of 551 listings that do state pay — Engineering · Lead · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 10d ago · last seen just now
The listing
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
Job Summary
We are seeking a highly skilled Principal Data Architect to design and implement our next-generation data ecosystem. You will lead the technical strategy for end-to-end data management, data warehousing, and IoT ingestion pipelines. The ideal candidate brings mastery in cloud data platforms (Azure or AWS) and advanced data governance.
Key Responsibilities
Data Architecture: Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence (BI) systems.
IoT & Stream Ingestion: Build scalable pipelines using Azure Hub, Device SDK, DPS, and Stream Analytics.
Data Management: Implement information lifecycle management (ILM) from data ingestion to archiving.
Data Strategy: Define, build, and enforce global data governance and master data management practices.
Dataset Creation: Extract and manipulate unstructured data into connected datasets for advanced analytics.
Requirements
- Core Cloud Data Platform (Must Have)
- Databricks: Strong proficiency in building optimized spark pipelines, delta lakes, and lakehouses.
- Cloud Ecosystem (Option A: Azure Suite)
- IoT Infrastructure: Azure Hub, Device SDK, Device Provisioning Services (DPS), and Device Twins.
- Compute & Storage: Azure Functions, Cosmos DB, and Azure Stream Analytics.
- Cloud Ecosystem (Option B: AWS Alternative)
- IoT Infrastructure: AWS IoT Core, IoT Device Management, and IoT Device Defender.
- Compute & Storage: AWS Lambda, DynamoDB, Amazon Kinesis, and EMR.
- Data Engineering & Governance
- BI & EDW: Deep expertise in enterprise data warehousing and business intelligence tools.
- Data Modeling: Proven ability to manage both structured and unstructured data assets.
- Qualifications & Soft Skills
- Communication: Ability to translate complex technical concepts clearly to diverse technical teams.
- Collaboration: Demonstrated teamwork skills with a proven track record in cross-functional environments.
- Experience: Extensive background in end-to-end data management principles and data lifecycle execution.
Good to have-Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, 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.