Senior Data Engineer

Location: New York

Build and shape a modern Snowflake and dbt data platform, influence commercial decision-making across the business, and grow into a cross-functional data leader with competitive compensation and bonus potential!

This Jobot Job is hosted by:
Brad Trombly
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000 - $170,000 per year

A bit about us:

A leading technology-enabled private capital services organization is seeking a Senior Data Engineer to expand its enterprise data capabilities and deliver high-impact initiatives initially aligned with the Finance function. This position will build upon a newly established data platform, develop reliable pipelines and data products, and partner with business stakeholders to improve financial planning, analytics, and commercial decision-making. As the data function grows, this individual will have the opportunity to help shape its direction and extend data-driven insights across the broader organization.

Why join us?

Competitive salary of $140,000 - $170,000 annually
Discretionary bonus
Comprehensive benefits package
Opportunity to shape and expand a growing enterprise data function
Ownership of high-impact Finance and analytics initiatives
Exposure to a modern data stack built on Snowflake and dbt
Cross-functional opportunities as the data platform expands across the business
Technical and personal development training
Career growth and promotion-from-within opportunities
Employee benefits focused on physical, mental, and financial well-being
Collaborative environment that values innovation, problem-solving, and new ideas

Job Details

Build, enhance, and maintain a scalable data platform using Snowflake and dbt
Design and maintain end-to-end data pipelines connecting enterprise source systems with analytical consumers
Integrate data from platforms such as Intacct and Salesforce
Deliver trusted data models and datasets primarily for consumption in Power BI
Partner initially with Financial Planning and Analytics stakeholders to improve commercial decision-making
Work directly with business stakeholders to translate operational and analytical needs into data solutions
Identify, assess, and prioritize future data-product use cases across the organization
Develop data-ingestion processes using APIs, Python, and modern ingestion technologies
Maintain enterprise security, governance, and organizational standards throughout the data platform
Apply data architecture and modeling principles to scalable enterprise solutions
Support documentation, governance, and development practices using Azure Dev Ops
Lead or manage data engineering resources and provide technical direction
Organize and deliver multiple parallel work streams
Support additional projects and responsibilities assigned by the Finance team
Help shape the data function as it expands into additional business areas

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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