Principal Data Engineer, JumpCloud

• A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance
• A keen sense for identifying business drivers, and ability to propose a strong vision for implementing data solutions
• Extensive hands-on experience with building scalable data solutions with complex fast moving data sets
• Expert level data architecture and data modeling skills
• Extensive experience with batch and streaming data pipelines and ELT/ETL processes
• Extensive Experience with Cloud Data Warehouses/Data Lakehouses (preferably Snowflake)
• Experience in building from the ground up a modern next generation data lakehouse platform
• Strong experience with AWS data technologies and methodologies
• Proven track record of leading multiple large sized projects simultaneously
• Ability to communicate effectively with other engineers, and both technical and non-technical data stakeholders
• Proven ability to quickly integrate new technologies and industry best practices into personal and team skill sets, and to apply these techniques efficiently
• Expert level SQL skills
• Strong proficiency with the Python programming tools and ecosystem, including Software Engineering techniques

Desirable

• We’re looking for a Principal level Data Engineer in JumpCloud’s Business Data Engineering team to provide technical leadership and strategic direction that supports JumpCloud’s growth strategy
• This role involves frequent engagement with analytics partners and data/platform engineering to mature our data model and pipelines
• As part of the Business Data Enablement team, and as part of the Data Engineering team as a whole here at JumpCloud, you will play a pivotal role in the design and development of our critical data infrastructure and systems for multiple areas of the business, including Business Analysis, Product Development, Engineering, ML Operations, Finance, Sales and Executive Strategy
• Develop and implement a comprehensive data engineering vision and cloud data strategy, aligning it with JumpCloud’s business objectives while ensuring data quality, scalability, reliability and security
• You will work with other senior level engineers with the goal to achieve top level proficiency in core data engineering skills and business functions
• On a day-to-day basis, as a Principal Data Engineer, you may be asked to:
• Develop our long term vision for Data Warehousing, Data Lakehouse, and Data Pipelines
• Evaluate and recommend appropriate cloud technologies and services to support our data architecture, and take a hands-on approach to implementing these technologies
• Interface and collaborate with stakeholders to define needs and develop strategies for providing data
• Plan, build, and maintain data pipelines from internal and external data sources
• Implement data observability and monitoring in the pipeline and in the warehouse
• Work with appropriate teams to ensure Data Security and Data Compliance
• Mentor team engineers, and provide education for our engineering and other stakeholders
• Promote Cloud Infrastructure Optimization, collaborate with infrastructure teams to optimize the cloud environment for data storage, processing, and analytics
• Provide guidance on the development of our data standards and data governance
• Guide Data Analysts to ensure clean delivery of data
• Collaborate with Product and Application architects to develop holistic data solutions
• There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed