4 часа назад
Staff Software Engineer (Data/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Data/AI): Architecting and building Ripple’s Caspian Data Platform, a centralized lakehouse for analytics, financial reporting, product intelligence, and data-driven operations with an accent on Databricks, data governance, and data quality. Focus on designing scalable ingestion and transformation systems, building agentic AI tooling for pipeline operations, and leading complex platform initiatives across teams.
Location: Hybrid, with in-office collaboration expected more than 10 days per month according to manager and team needs.
Company
develops crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system.
What you will do
- Set the technical direction for the Caspian Data Platform, ’s centralized lakehouse supporting analytics, financial reporting, product intelligence, and data-driven operations.
- Design and build core platform capabilities for ingestion, transformation, governance, and data quality.
- Define reference architectures and engineering patterns for Databricks pipelines while shipping production flows and prototypes.
- Establish data contracts, lineage, validation frameworks, and quality standards through implementation and code review.
- Lead complex multi-quarter initiatives and develop AI capabilities for pipeline operations, automated transformations, and conversational analytics.
- Raise engineering standards and mentor senior engineers toward greater ownership.
Requirements
- 10+ years of data engineering experience architecting and operating large-scale data platforms while remaining hands-on.
- Deep expertise in Databricks, including Delta Live Tables, Unity Catalog, Delta Lake, and Spark.
- Production experience with ingestion, transformation, governance, and data quality.
- Expertise in SQL and Python for data modeling, transformation, and platform tooling.
- Strong AWS experience operating data systems at scale.
- Experience applying AI tooling to data engineering workflows, including agentic systems, LLM integrations, or conversational analytics.
Culture & Benefits
- Fast-paced startup environment with experienced industry leaders.
- Professional development budget and access to learning opportunities.
- Flexible team- and manager-led approach to in-office collaboration, with more than 10 office days per month.
- Competitive salary, bonuses, equity, healthcare, retirement, and family support benefits.
- Vacation, R&R days, wellness reimbursement, parental leave, and family planning benefits.
- Catered lunches, stocked kitchens, team offsites, and other company events.
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