Senior Data Engineer

Gen II Careers•New York, NY

14d•Hybrid

About The Position

Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best-in-class combination of people, process, and technology. Gen II has more than $1 trillion in private fund capital assets under administration. With offices in the US and Europe, we’re looking for do-ers, problem-solvers, and entrepreneurs like you who want to make an impact in our industry, grow with us, and create a community where everyone thrives. Careers mean more at Gen II – more opportunity, more innovation, and more ideas! You’ll have the opportunity to grow in ways that are meaningful to you and work alongside some of the best people in their field. You’ll also receive training which will advance your skill set, both technically and personally allowing you to achieve your career aspirations with us. Be part of our community that recognizes achievements, promotes from within, and receive meaningful benefits which focus on your physical, mental and financial well-being. We are looking for a Senior Data Engineer to develop the data capability at Gen II through driving high impact initiatives, initially aligned to the Finance function. The ideal candidate will have a strong technical background in data engineering and experience working and communicating with business stakeholders. At Gen II you will be building on a newly established data platform, initially to support the financial planning and analytics team to drive better commercial decision making but quickly extending into other areas across all business functions at Gen II. This role provides opportunities to grow and shape the data function as it expands to be cross-functional and drive business insights across the business.

Requirements

Bachelor’s degree in Computer Science or similar/ related discipline.
4+ years’ experience in data engineering, primarily working with cloud data warehouses and data pipelines.
2+ years Snowflake experience is required.
dbt, SQL or similar Data Transformation/ Data Modelling experience is required.
Must have experience with Data Ingestion, preferably using FiveTran
Experience using APIs and Python to build pipelines
Knowledge & understanding of data architecture and modelling including the implementation of enterprise security and governance.
Knowledge of programming best practices and familiarity with Azure DevOps for documentation and governance
Experience leading/ managing a team of data engineers
Ability to prioritize and organize multiple parallel workstreams.
Strong interpersonal skills, both written and verbal.
Strong commercial understanding of the value of data and potential use cases it underpins.

Responsibilities

Building and maintaining a best-in-class data platform built on Snowflake and dbt.
Building and maintaining end-to-end data pipelines, from source systems (Intacct, Salesforce, etc.) to end consumers primarily in Power BI.
Identifying and prioritizing future use-cases for data products in Gen II.
Ensuring strict compliance with security and organizational standards are maintained within the boundaries of the data platform.
Assist with other projects and duties as assigned by the Finance Team.