Tiger Analytics Inc.
Principal Architect - Databricks
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 3 months ago · Found 7h ago
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Lead
Category
Data
This employer didn't state pay. Jobs like this usually pay around $185k–$260k a year, a typical range taken from 164 lead-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Dallas, United States, Dallas, Texas, United States, Dallas, Texas, United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 7h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $185k to $260k per year · You'll be taken to the employer's careers page.