Description:
Trilyon, Inc. is seeking an experienced Senior Data Warehouse Engineer with expertise in Azure and Databricks to join a leading semiconductor innovator’s data team. This is a high-impact, long-term role offering exposure to cutting-edge cloud and big data technologies, and an opportunity to work with a talented group of engineers, analysts, and data professionals.
In this role, you will be responsible for architecting, developing, and optimizing scalable ETL/ELT pipelines within the Azure ecosystem. You will manage data workflows across Azure Data Lake Storage, Databricks, and Data Explorer, ensuring high performance, scalability, and adherence to data warehousing best practices. You will collaborate closely with business stakeholders, data scientists, and analysts to deliver trusted, governed, and high-quality data solutions that support strategic decision-making.
Key responsibilities include designing efficient data models, implementing robust data governance and quality frameworks, and mentoring junior team members to uplift technical capabilities within the team. You will also be expected to stay updated with the latest innovations in cloud data engineering to maintain a competitive edge.
Key Requirements:
Minimum 5 years of professional experience in Data Engineering
Proficiency in Python and SQL (experience with Scala/Java is a plus)
Strong hands-on expertise with Databricks Data Warehouse and the Azure data ecosystem
In-depth knowledge of data modeling, governance, and quality assurance practices
Ability to work effectively in fast-paced, collaborative environments
Strong problem-solving skills and a proactive mindset
Why Join:
Work with cutting-edge Azure + Databricks technology stack
Join a top-tier semiconductor innovator driving future industry advancements
Opportunity for long-term career growth in a stable project environment
Collaborate with high-caliber engineering and data teams
Direct impact on enterprise-wide data strategy and architecture
| Organization | Trilyon, Inc |
| Industry | IT / Telecom / Software Jobs |
| Occupational Category | Data Warehouse Engineer |
| Job Location | Austin,USA |
| Shift Type | Morning |
| Job Type | Full Time |
| Gender | No Preference |
| Career Level | Experienced Professional |
| Experience | 5 Years |
| Posted at | 2025-08-11 5:02 pm |
| Expires on | 2026-01-04 |