2 months ago
Base Salary
$208k - $260k/yr
Responsibilities
- Lead the design and implementation of ingestion, transformation, governance, and data quality platform components.
- Define Databricks pipeline patterns and reference architectures and ship production implementations.
- Establish data quality and governance standards covering data contracts, lineage, and validation frameworks.
- Lead complex, multi-quarter initiatives spanning multiple teams from problem definition through delivery.
- Develop AI-enabled data engineering capabilities, including agentic pipeline operations, automated transformation generation, and self-serve analytics interfaces.
- Raise code quality and engineering rigor and mentor senior engineers toward greater ownership.
Requirements
- 10+ years of data engineering experience architecting and operating data platforms at scale.
- Deep expertise in Databricks, including Delta Live Tables, Unity Catalog, Delta Lake, and Spark.
- Demonstrated ownership of ingestion, transformation, governance, and data quality for a production platform.
- Expertise in SQL and Python for data modeling, transformation, and platform tooling.
- Strong AWS experience operating data systems at scale.
- Track record of setting technical standards and patterns and raising engineering quality.
- Experience building agentic systems, integrating LLMs into developer workflows, or enabling conversational analytics.
- Ability to influence through technical credibility and communicate tradeoffs to engineers and leadership.
Benefits
- Professional development budget.
- Flexible in-office collaboration, with managers and teams deciding which 10+ days per month employees come in.
- Team offsites, team bonding activities, happy hours, and bi-weekly all-company meetings.
- Healthcare, retirement, family-forming, and family-support benefits.
- Employee giving match and mobile phone stipend.
- R&R days, generous vacation, wellness reimbursement, and parental leave and family-planning benefits.
- Catered lunches, fully stocked kitchens, snacks, beverages, and company events.
- Benefits listed are for full-time employees.
Tech Stack
Categories
AI ApplicationsData Engineering
About Ripple
Using proven crypto and blockchain technology honed over a decade, Ripple’s enterprise-grade solutions are faster, more transparent, and more cost-effective than traditional financial services. Our customers use these solutions to source crypto, facilitate instant payments, empower their treasury, engage new audiences, lower capital requirements, and drive new revenue. Founded in 2012, Ripple's vision is to enable a world where value moves as seamlessly as information flows today—an Internet of Value. Ripple is the only enterprise blockchain company today with products in commercial use. Ripple’s global payments network includes over 300 customers across 40+ countries and six continents.