Principal Architect - Databricks

Tiger Analytics • Dallas, TX

2d

About The Position

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.

Requirements

• Databricks: Strong proficiency in building optimized spark pipelines, delta lakes, and lakehouses.
• IoT Infrastructure: Azure Hub, Device SDK, Device Provisioning Services (DPS), and Device Twins.
• Compute & Storage: Azure Functions, Cosmos DB, and Azure Stream Analytics.
• IoT Infrastructure: AWS IoT Core, IoT Device Management, and IoT Device Defender.
• Compute & Storage: AWS Lambda, DynamoDB, Amazon Kinesis, and EMR.
• Deep expertise in enterprise data warehousing and business intelligence tools.
• Proven ability to manage both structured and unstructured data assets.
• Ability to translate complex technical concepts clearly to diverse technical teams.
• Demonstrated teamwork skills with a proven track record in cross-functional environments.
• Extensive background in end-to-end data management principles and data lifecycle execution.

Nice To Haves

• Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed