Staff Engineer, Data Engineering

Toronto, Ontario, Canada

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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.

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Ripple is looking for a Staff Data Engineer to help build scalable Data infrastructure. You will be part of the effort to enable Ripples to democratize data by developing self-serving and curated data models through financial Hub. Data is core to everything that Ripple does today and you will design and mentor the data engineers and data Ops pods that will be at the center of data. Our data science research direction, machine learning strategy, and analytics will rely on the infrastructure you build. As a hands-on leader for this team,You will incorporate best practices, learn about and leverage new technologies, work with an experienced team of engineers, and be part of a team that has a lot of fun along the way!

WHAT YOU'LL DO:

  • Own the delivery, quality, and reliability of our Financial Data Hub 
  • Provide Technical Leadership for strategy, architecture, design, development, testing, production launch, and ongoing support of data applications
  • Build and implement Operations like monitoring and alerting tools and best practices for Financial Data Warehouse. support for production issues, profile performance, and drive in root cause analysis.
  • 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.
  • Participate in evaluating and recommending 3rd party technologies and ability to make build vs. buy decisions 
  • Design, develop, manage, and maintain application development standards that meet or exceed industry standards. Institute and manage an effective application development Systems Lifecycle methodology.
  • Build processes/tools to optimize warehouse cost and performance
  • Ensure a compliant and secure data environment
  • Perform presentations of our products/features to internal stakeholders
  • Mentor team members on administration activities and best practices

WHAT WE'RE LOOKING FOR:

  • 8+ years experience in data platform preferably Data warehousing
  • 5+ years of experience in Distributed DB like Bigquery, snowflake, Presto,Netezza or something similar
  • 4+ years of experience in cloud technologies like AWS, GCP and Azure
  • Deep knowledge in Data Warehouse architecture and integration
  • Experience with data management in SQL and/or NoSQL databases (PostgreSQL, Oracle, Teradata, Hadoop).
  • Familiar to cloud-based architectures, development, test, and deployment automation.
  • String understanding of SQL, data structures, data integrity, and schema design best practices
  • Experience in driving initiatives as a technical lead and subject matter expert in one or more areas
  • Deep experience with distributed systems, distributed data stores, data pipelines, and other tools in cloud services environments (e.g, AWS, GCP)
  • Prior experience with data processing technology (e.g. Spark, Hadoop) and workflow management tools (e.g. Airflow, DBT)
  • Experience with schema design and dimensional data modeling.
  • A strong advocate of data governance and data quality
  • Experience with distributed event streaming platforms like Kafka, Flink, etc 
  • Experience with database internals, database language theories, database design, SQL and database programming
  • You have experience building internal infrastructure that is shared across teams.
  • Solid leadership and communication skills

WHAT WE OFFER:

  • The chance to work 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
  • Competitive salary and equity
  • 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
  • 401k (with match), commuter benefits
  • Industry-leading parental leave policies
  • Generous wellness reimbursement and weekly onsite programs
  • Flexible vacation policy - work with your manager to take time off when you need it
  • Employee giving match
  • Modern office in San Francisco’s Financial District
  • Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
  • Weekly company meeting - ask me anything style discussion with our Leadership Team
  • Team outings to sports games, happy hours, game nights and more!

Ripple is flexible-first: Ripplers have the option to work remotely, from our offices, or a combination.

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, Reykjavík, Washington D.C. and Dubai.

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 preference, 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: Airflow Architecture AWS Azure BigQuery Blockchain Classification Data governance Data management DataOps Data pipelines Data quality Data warehouse Data Warehousing Distributed Systems Engineering Flink GCP Hadoop Kafka Machine Learning NoSQL Oracle Pipelines PostgreSQL Privacy Research Security Snowflake Spark SQL Streaming Teradata Testing

Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Health care Insurance Medical leave Parental leave Snacks / Drinks Startup environment Team events Wellness

Region: North America
Country: Canada
Job stats:  5  0  0

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