Design, build, and manage reliable data ingestion and transformation pipelines using Airflow, dbt, Python, Matillion, and Snowflake.
Develop and Manage automation frameworks for key Finance metrics like ACV/ARR and support Month End/ Quarter End close.
Collaborate closely with the US Finance Data Engineering team to define, standardize, and deliver business metrics, KPIs, and curated data models.
Balance the development of new capabilities with the need to scale and optimize existing systems.
Ensure reliability, scalability, and security of Snowflake data solutions and integrations.
Oversee multiple projects simultaneously, managing priorities, resources, and delivery timelines in a dynamic, high-velocity environment.
Communicate effectively with business and technical stakeholders to align data engineering initiatives with strategic organizational goals.

12+ years in developing complex automation frameworks, queries, data modeling, and extract, transform, and load (ETL) processes
Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake
Experience with ETL/ELT processes, data pipelines (e.g., dbt, Airflow), and modern data engineering best practices
Experience in scaling operations in high-growth environments
Proficiency in Salesforce or similar CRM systems
Hands-on experience with Agile methodologies and tools like JIRA
Knowledge of Finance metrics is a plus

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Data Engineering Manager

Key skills