Design, build, and own the core data models and key infrastructure to manage data and usage across our Snowflake account with an emphasis on Finance & Treasury.
Design and implement a data quality monitoring system, including source-to-target data validations and anomaly detection.
Collaborate closely with Engineering, Product Management, IT, Finance, and Treasury to inform product decision-making with data and identify opportunities for system improvements.
Collaborate with Engineering, Finance, Treasury, and IT Applications teams to meet data governance requirements.
Build dashboards to help IT Leadership monitor the performance and availability of our systems.
Answer questions from the executive team for board reporting, publications, and industry reports.
Think creatively to find optimal solutions to complex, often unstructured and ambiguous problems.
3-5 years of experience including:
Domain knowledge in areas such as: Finance, Treasury, and IT.
Designing and building complex data pipelines in a large-scale data environment.
Experience integrating data across multiple business applications.
Familiarity with developing data products to drive data science and machine learning initiatives.
Using big data to drive business impact.
Experience using Snowflake is a plus.
BS in a technical field (CS, Physics, Math, etc.), MS/PhD is a plus.
Proficiency in Python and SQL.
Ability to clearly present learnings to business leaders and technical stakeholders.
The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $118,000 - $157,500.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.