Staff 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 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
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs