Sr.Manager, Data Platform – Advanced Analytics

Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.

At Spire, you’ll have the chance to work with unique solutions that only a few companies in the world can provide. Over the last decade, Spire has built the world’s largest multipurpose satellite constellation to collect data and insights about Earth, its oceans, and atmosphere. Our growing satellite and ground station network powers a range of impactful applications including weather forecasting and real time global ship monitoring and aircraft tracking.  

Spire Space Services leverages this infrastructure and experience to help companies and governments use space to solve environmental, social, security, and business challenges on Earth. With our proven space platform, global ground station network, end-to-end manufacturing facility, and extensive launch partnership network, Spire Space Services handles the entire mission from idea to in-orbit operations, and helps our customers deploy innovative applications in space, at maximum speed with minimum risk. Using our platform, Spire customers can deploy applications to space as simply as they deploy applications to the cloud. 

Our products are data analytics APIs consumed by businesses, governments, and non-profits alike who seek best-in-class information on weather, maritime activity, aviation activity, or are looking to leverage our space program to launch and operate custom hardware. 

The Data Platform team is responsible for ingestion of tens of thousands of events per second, data Lakehousing (Databricks), OLTP stores (Hbase, OpenSearch) and APIs. The customers of the Data Platform are the internal business units who use it for data engineering, AI/ML, and Business Intelligence. 

Scope of the role: 

• Own the design, implementation, testing, and operation of the company’s shared Data Platform infrastructure. 
• Work with your customers across the aviation, maritime, weather, and orbital services business units to improve their ability to move fast and deliver deeper innovative new data products for their customers. 
• Build the infrastructure and the applications that deliver next generation Advanced Analytics capabilities including but not limited to Predictive and Prescriptive Analytics.
• Join a collaborative, fast-moving, high-functioning team that values on-time delivery and broad expertise: backend services, distributed and streaming data analysis, CI/CD, infrastructure, operations, etc.
• Leverage Spire’s 150-person engineering organization, including SREs, security engineers, and PaaS tooling, to accelerate the team’s delivery velocity. 

Basic Qualifications: 

• Bachelor’s degree (Master’s degree preferred) in computer science, Engineering or related field, or equivalent training, fellowship, or work experience  
• 10+ years of work experience in related Industry  
• 5+ year leading engineering teams.  
• Highly collaborative team player who values shared code ownership, testing, documentation, code reviews, and supporting customers, both internal and external. 
• Computer science degree or equivalent work experience.
• Experience owning full-lifecycle software development: requirement gathering, development, testing, delivery, monitoring, and incident response.
• 5+ years of experience in Data Lake, Data Modelling Architecture, and Development
• 5+ years of building Advanced Analytics, AI/ ML products and services
• Experience with relational SQL and NoSQL databases, including MySQL, ElasticSearch, etc.,
• Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc.
• Experience with visualization tools such as Grafana, QuickSight
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
• Experience in architecting, authoring, or reviewing system design documents for enterprise solutions.
• Experience with Agile practices and data ops.
• Deep understanding of data management, administration, security, and access control processes and implementation
• Experience and desire to set up data capabilities and platforms as well as managing them.
• Self-organizing and self-starting
• Continuous learner, independent worker, and strong decision maker (with minimal supervision) 

 Preferred Qualifications / Experience: 

• Domain flexibility, good com