Principal Business Intelligence Engineer

Coherent Corp.•Santa Clara, CA

6d•$141,563 - $195,875•Hybrid

About The Position

Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!

Requirements

Minimum 9+ years of experience in enterprise data engineering, BI engineering, analytics engineering, or related disciplines.
Minimum 8+ years of hands-on experience with Oracle E-Business Suite (EBS), enterprise data warehousing, and Snowflake development.
Deep expertise in enterprise data architecture, dimensional modeling, data warehouse design, and large-scale analytical systems.
Advanced proficiency in SQL, PL/SQL, SnowSQL, T-SQL, and performance optimization techniques for large-scale data platforms.
Extensive experience designing and developing advanced stored procedures, orchestration frameworks, and scalable ELT/ETL pipelines.
Strong experience building enterprise-grade Snowflake data warehouse solutions using dbt with automated testing, lineage tracking, CI/CD integration, and engineering best practices.
Extensive experience with enterprise data integration tools and platforms such as SAP Data Services, SSIS, Informatica, Snowflake Openflow, Airflow, or Azure Data Factory.
Strong understanding of enterprise business processes within high-tech manufacturing environments, including Finance, Supply Chain, Manufacturing, and Operations.
Strong expertise in Oracle ERP functional modules and Oracle EBS technical architecture, including schema design, interfaces, and data structures.
Proven ability to lead complex technical initiatives and influence architectural direction across multiple organizations.
Demonstrated experience mentoring engineers and providing technical leadership within enterprise engineering teams.
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related field.

Nice To Haves

Strong analytical and problem-solving capabilities
Self-motivated and able to work independently in a fast-paced environment
Excellent collaboration and communication skills
Detail-oriented with a focus on quality and reliability
Experience with Python for data ingestion, API integration, and automation
Familiarity with workflow orchestration tools (Airflow, Azure Data Factory)
Experience with BI tools such as Power BI, Tableau, or similar platforms

Responsibilities

Lead the architecture, design, and evolution of enterprise-scale data warehouse and analytics platforms supporting global business operations and strategic decision-making.
Define and implement enterprise data modeling standards, governance practices, and scalable architectural frameworks for analytics and reporting solutions.
Design and optimize Snowflake-based solutions, including advanced SQL development, dbt frameworks, JavaScript-based stored procedures, and data pipelines.
Lead the development of scalable and maintainable dimensional data models, including staging, intermediate, semantic, and enterprise reporting layers with automated testing, lineage tracking, and documentation standards.
Drive enterprise data integration initiatives involving Oracle E-Business Suite (EBS), ERP systems, manufacturing systems, external APIs, and cloud-based data platforms.
Serve as the technical authority for enterprise BI and analytics engineering solutions, providing guidance and mentorship to engineers and cross-functional technical teams.
Partner with business leaders and stakeholders across Finance, Supply Chain, Manufacturing, Operations, and IT to translate strategic business objectives into scalable technical solutions.
Lead architecture reviews, performance optimization efforts, data quality initiatives, and enterprise scalability planning for mission-critical analytics systems.
Establish best practices for ETL/ELT development, CI/CD deployment processes, code quality, testing frameworks, and operational support procedures.
Evaluate emerging technologies and recommend improvements to enterprise data architecture, analytics platforms, and reporting capabilities.
Lead complex cross-functional programs and coordinate technical activities across multiple teams to ensure successful delivery of enterprise initiatives.
Drive continuous improvement initiatives for data governance, metadata management, reliability, observability, and operational excellence.
Participate in strategic planning discussions related to enterprise analytics capabilities, data modernization efforts, and long-term platform roadmaps.