Software Engineer
Lead the design and implementation of a next‑generation data ecosystem using Databricks, Spark, and Delta Lake, driving end‑to‑end data architecture, lakehouse strategy, and cloud‑native ETL pipelines for enterprise analytics.
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
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 a
Posted June 22, 2026