Databricks & Azure Data Platform Principal Engineer at Axiom Software Solutions Limited Jersey [...]

Feitong Buke; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Axiom Software Solutions Limited, based in Jersey City, NJ, is seeking a Principal Engineer specializing in Databricks and Azure Data technologies. The successful candidate will design, build, and optimize scalable and efficient data solutions while overseeing architecture and best practices in a cloud data ecosystem.

This role involves collaboration with developers, analysts, and data scientists to implement data pipelines and machine-learning models, ensuring system reliability and performance optimization.

Qualifications

• Proven experience with Databricks and Azure Data technologies.
• Experience in designing and optimizing scalable data solutions.
• Ability to manage data ecosystems and implement best practices.

Responsibilities

• Design, build, and optimize data solutions using Databricks and Azure Data technologies.
• Oversee architecture, integration, design, development, and deployment of solutions.
• Manage platform automation and leverage new market capabilities.

Skills

Databricks

Azure Data Technologies

Data Governance

DataOps

Performance Tuning

Cost Optimization

System Reliability

Job description

Databricks & Azure Data Platform Principal Engineer – Axiom Software Solutions Limited, Jersey City, NJ

A senior technical expert responsible for designing, building, and optimizing data solutions using Databricks and Azure Data technologies. This principal engineer oversees the architecture, integration, design, development, and deployment of reusable patterns and solutions, ensuring that they are scalable, secure, and efficient. He or she also manages the platform effectively with automation, leveraging emerging capabilities in the marketplace. The role requires proven experience working with developers, analysts, and data scientists to implement data pipelines, real‑time analytics, and machine‑learning models. This engineer ensures modern best practices are developed and adhered to in a cloud data ecosystem for data governance, data architecture, and DataOps, while providing guidance on performance tuning, cost optimization, and system reliability.