Tiger Analytics

Principal Architect - Databricks

Tiger Analytics$130K — $180K *
US-AnywhereRemote in Dallas, TX
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data architecture or related field
  • Strong proficiency in Databricks for building optimized spark pipelines and delta lakes
  • Deep expertise in enterprise data warehousing and business intelligence tools
  • Familiarity with cloud ecosystems (Azure or AWS) including IoT infrastructure
  • Proven ability to manage structured and unstructured data assets
  • Excellent communication skills to convey complex technical concepts
  • Demonstrated teamwork skills in cross-functional collaborative settings

Responsibilities

  • Design and implement Databricks-driven enterprise data warehousing systems
  • Build scalable IoT ingestion pipelines using Azure Hub and Stream Analytics
  • Implement information lifecycle management from data ingestion to archiving
  • Define and enforce global data governance and master data management practices
  • Extract and manipulate unstructured data into connected datasets for advanced analytics

Benefits

  • Significant career development opportunities during company growth
  • Unique chance to work in a small and entrepreneurial environment
  • High degree of individual responsibility in role
Full Job Description
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.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million

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