Principal Engineer, Data Engineering
Toronto, Ontario, Canada
Ripple
Ripple is the leading provider of crypto solutions for businesses. Learn how we’re helping organizations of all sizes drive impact with the power of crypto.Ripple is the world’s only enterprise blockchain solution for global payments. Today the world sends more than $155 trillion across borders. Yet, the underlying infrastructure is dated and flawed. Ripple connects banks, payment providers, corporates and digital asset exchanges via RippleNet to provide one frictionless experience to send money globally.
In this role, you will architect and implement the data infrastructure for analytics and data centric product feature at Ripple, which will include creating our complete data Platform for unified data Ingestion, distributed systems for processing, self serve data lakes and batch/stream ETL data pipeline for golden datasets for analytics etc. Successful candidates will be able to demonstrate an ability and history of thoughtfulness and curiosity in data ingestion, generation, and pipelining, governance and security of Data at ripple.
This is a senior, high-visibility role that requires a clear architectural vision, the desire to rapidly code, very fast shipping pace, exacting communication and leadership skills, and the ability to educate our firm on the technology we are developing and shipping. You will also represent Ripples Data Platform and Engineering as an expert member, responding to conversations, seeding ideas, and participating architectural discussions.
About The Role
- This position is responsible for architecting, designing, implementing, and managing data platforms for Ripple on various hyper scale platforms (AWS, GCP).
- You will partner with other engineers and product managers to translate data needs into critical information that can be used to implement scalable data platforms and self-service tools.
- Collaborate and ensure business teams by providing technical input to Data Governance policies, standards, and processes related to data with clear data classification and data ownership, access, and security (privacy & protection) of sensitive data.
- Work with service teams and other engineering and business partners on Data Infrastructure and Engineering roadmap planning to build the database infrastructure for future scale and volume.
- Keeps observability as a focus for all database monitoring and improve/implement auto remediation techniques.
- Partner with service and performance teams for continuous architecture improvements, resiliency, and performance.
- Own the delivery, quality, and reliability of our Financial Data Hub
- Develop data migration architecture for scale and strategy for data migration across clouds.
- The ideal candidate will have strong hands-on experience in designing, developing, and managing enterprise level database systems with complex interdependencies and key focus on high-availability, clustering, cloud migration, security, performance, and scalability.
Key Responsibilities
- At least 12+ years’ experience in designing and developing enterprise data architecture and engineering solutions that have supported massive workloads and data scale/volume.
- Experience working with private and public clouds (AWS, GCP) and capacity management principles.
- Design, and implement a scalable data lake, including data integration and curation
- Build modular set of data services using Python/Scala,BigQuery/Presto SQL, API Gateway, Kafka, Apache Spark on EMR/data proc among others
- Deep knowledge in Data Warehouse architecture and integration
- Research, design, and experiment to execute fast proof of concepts to evaluate similar products.
- Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs. This will include assessment of build vs buy decisions at every stage, backed by proof of concepts, benchmarking, etc.
- Experience working autonomously and taking ownership of projects.
- Create data applications with ability to do searches, real time data alerts, APIs to pull the data on a large volume of data.
- Design and implement innovative data services solutions using Microservices and other UI and API related technologies
- Implement processes and systems to manage data quality, ensuring production data is always accurate and available for key partners and business processes that depend on it.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Work closely with a team of frontend and backend engineers, product managers, and analysts.
- Coaching other engineers on best practices for designing and operating reliable systems at scale
- Design data integrations and data quality framework.
- Execute the migration of data and processes from legacy systems to new solutions.
- Perform production support and deployment activities
- Manage the system performance by performing regular tests, solving problems and integrating new features.
- Offer support by responding to system problems in a timely manner.
WHO WE ARE:
Ripple is doing for value what the internet did for information: enabling its instant and seamless flow around the world. We call this the Internet of Value (IoV). Using blockchain and cryptocurrency technology, Ripple is dedicated to creating powerful gains in financial efficiency, equity and inclusion. In addition, Ripple is developing and enabling the future use cases that will catalyze the new digital economy for governments, businesses and consumers.
Ripple has offices in San Francisco (HQ), New York, London, Mumbai, Singapore, São Paulo, Toronto, Reykjavík, Washington D.C. and Dubai.
WHAT WE OFFER – The resources and support to be your best at work and beyond:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- Ripple is Flexible First: you have the option to work remotely, from our offices, or a combination of the two within the 11 countries we are located around the world.
- Weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team off-sites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Bonus Flexibility Program: Participants in the Corporate Bonus Plan have the option to elect to receive their annual bonus in cash, equity or XRP, or a combination.
- 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
- 401k (with match)
- Commuter benefits
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- Twice a quarter R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Flexible vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS BigQuery Blockchain Classification Clustering Data governance Data quality Data warehouse Distributed Systems Engineering ETL GCP Kafka Microservices Privacy Python R Research Scala Security Spark SQL
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Health care Insurance Lunch / meals Medical leave Parental leave Salary bonus Snacks / Drinks Startup environment Team events Wellness
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