27 days ago
USA (city not specified)Senior
Base Salary
$110k - $221k/yr
Responsibilities
- Partner with Finance to understand workflows, identify pain points, and translate business needs into data and automation solutions.
- Build and maintain automated workflows for data preparation, reconciliations, reporting, and follow-ups with controls, monitoring, and exception handling.
- Build dashboards and visualizations that support performance understanding, issue investigation, and decision-making.
- Resolve finance data issues and reconciliation breaks with Finance, Product, and Engineering teams while addressing root causes.
- Build scalable pipelines to collect, transform, and curate data from internal platforms and external systems.
- Support the design and rollout of a trusted finance data lake with clear definitions, ownership, and quality checks.
- Improve data timeliness and enable near-real-time insights where valuable.
- Evaluate AI-assisted automation and other technologies, prototyping solutions that can be reliably supported in production.
Requirements
- At least 7 years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams.
- Strong SQL and Python skills, including writing, debugging, and maintaining production code.
- Experience with Git, merge requests, code reviews, testing, and documentation.
- Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow, or comparable tools.
- Direct experience with finance or accounting data, including reconciliations, subledgers, cost basis, or month-end close.
- Experience owning pipelines end to end and improving reliability as requirements and systems evolve.
- Experience supporting recurring financial close activities and automating manual processes with sustainable solutions.
- Ability to lead complex work, operate autonomously, navigate ambiguity, and remain accountable for production outcomes.
- Excellent communication and cross-functional collaboration skills, including explaining technical issues and financial implications.
- Preferred experience with cryptocurrency transaction data and digital-asset financial records and reconciliations.
- Preferred experience processing large volumes of financial transactions with distributed frameworks such as Spark or PySpark.
Tech Stack
Categories
Data Engineering
About Kraken
Kraken builds a global digital asset trading platform for individuals and institutions, offering spot, margin, futures, staking, OTC, and related infrastructure. The company generates revenue primarily from trading and financing fees and institutional services. Founded in 2011 and operated by privately held Payward, it is remote-first and serves customers worldwide; it has published cryptographic Proof of Reserves since 2014 to verify client asset holdings.