Responsibilities:
Architecture & Engineering: Design, build, and optimize data structures, heavily utilizing advanced Snowflake capabilities to execute complex data transformations and business logic.
System Integration: Manage NetSuite Data Model changes and seamlessly integrate NetSuite financial data structures into Snowflake environments.
Data Integrity: Lead data validation and reconciliation efforts across financial reporting systems.
Troubleshooting: Perform root cause analysis and resolve complex data discrepancies, table relationship issues, and pipeline failures.
Stakeholder Collaboration: Work independently with business leaders to gather requirements, communicate technical concepts, and deliver precise data solutions.
Required Qualifications:
5+ years of professional experience in Data Engineering.
Advanced Snowflake Expertise: Master-level proficiency in Snowflake architecture, computing, and data management (This is the primary requirement for the role).NetSuite Integration: Proven hands-on experience working specifically with NetSuite and Snowflake concurrently, including managing NetSuite Data Model changes and financial reporting systems.
Data Fundamentals: Strong, foundational understanding of relational databases, data modeling concepts, table relationships, and complex object structures.
Problem Solving: Demonstrated experience in independent root cause analysis, data validation, and troubleshooting within enterprise environments.
Communication: Strong stakeholder management and requirements gathering skills, with the ability to operate independently from discovery to deployment.
