Sr. Data Engineer

We are seeking an experienced Senior Data Engineer to support our client’s enterprise-level data initiatives focused on financial and operational analytics. This role will play a key part in building scalable data pipelines, enabling cost transparency, and supporting strategic decision-making through advanced data modeling and analytics., * Design, build, and maintain scalable data pipelines integrating financial and operational data from multiple enterprise systems into Snowflake

• Develop and optimize data models and semantic layers for reporting and analytics
• Implement complex cost allocation logic using SQL and/or Python
• Collaborate with cross-functional teams including product, finance, engineering, and QA
• Leverage orchestration tools (e.g., Airflow, DBT, Snowflake Tasks) to automate workflows
• Ensure data quality, governance, and auditability through validation and control processes
• Support ongoing enhancements, performance tuning, and operational stability of data systems

• 5+ years of experience in Data Engineering, with strong focus on cloud platforms (Snowflake preferred)
• Advanced SQL expertise (CTEs, window functions, complex transformations)
• Hands-on experience with Python for ETL/ELT and automation
• Proven experience building and maintaining enterprise-scale data pipelines
• Experience with financial data models (budgeting, forecasting, cost allocation, etc.)
• Familiarity with orchestration tools such as Airflow or DBT
• Experience working with enterprise systems (e.g., SAP, ServiceNow, or similar)
• Strong communication and collaboration skills across technical and non-technical teams
• Bachelor’s degree in a STEM field or equivalent experience, * Experience with Snowflake Cortex AI (analytics or visualization layers)
• Familiarity with Technology Business Management (TBM) frameworks
• Understanding of corporate finance and accounting processes

Additional Details

• High-visibility role supporting enterprise data and analytics initiatives
• Opportunity to work on complex financial and operational data systems
• Fast-paced, collaborative environment