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Tiger Analytics

Principal Architect – Databricks

Tiger Analytics

Principal Data Architect designing and implementing next-generation data ecosystems at Tiger Analytics. Leading cloud-based solutions and data governance for enterprise clients.

Posted 6/19/2026full-timeRemote • Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDynamoDBIoTSpark

About the role

Key responsibilities & impact
  • Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence (BI) systems.
  • Build scalable pipelines using Azure Hub, Device SDK, DPS, and Stream Analytics.
  • Implement information lifecycle management (ILM) from data ingestion to archiving.
  • Define, build, and enforce global data governance and master data management practices.
  • Extract and manipulate unstructured data into connected datasets for advanced analytics.

Requirements

What you’ll need
  • 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.
  • Good to have-Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture.

Benefits

Comp & perks
  • Significant career development opportunities exist as the company grows.
  • Unique opportunity to be part of a small, challenging, and entrepreneurial environment.
  • High degree of individual responsibility.
  • 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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Hard Skills & Tools
DatabricksAzure HubDevice SDKDevice Provisioning ServicesAzure FunctionsCosmos DBAzure Stream AnalyticsAWS IoT CoreAWS LambdaData Modeling