Role Overview
The Solutions Engineer is a critical member of the Product team, responsible for enabling the integration and optimization of Janes interconnected intelligence capabilities across the customer base. Working within the Product Solutions team, you will support the deployment, configuration, and enhancement of Janes data across a variety of systems, platforms, and mission-critical capabilities. This role focuses on enabling Janes data within individual systems, facilitating interoperability with third-party and customer datasets, and aligning with Customer's AI, intelligence and data requirements.
Responsibilities
- System Integration: Support the integration of Janes data and models into customer systems of record, ensuring seamless functionality and operational relevance.
- Product Delivery: Assist in the development and delivery of Janes Interconnected Intelligence products, capturing and aligning where possible with standards and technical expectations.
- Customer Advisory: Provide remote and on-site technical advisory services to customers, offering guidance on data attributes, integration strategies, and system optimization.
- Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with customer ecosystems.
- Gap Analysis: Identify and prioritize unmet data requirements critical to customer adoption and mission success.
- Strategic Expansion: Explore adjacent content and data domains for potential expansion to deepen Janes relevance.
- Market Intelligence: Monitor and report on partner and competitor activity within customer to identify opportunities.
- Presales & Bids: Support technical presales engagements, bid responses, and proposal submissions.
Requirements
- Proven experience in data integration, system interoperability, and technical advisory roles, ideally within defense and intelligence sectors.
- Strong understanding of data models, ontologies, and standards relevant to military customers.
- Experience working with national security and defense organizations.
- Proficient in Python, including SDKs, APIs, and data engineering best practices.
- Solid understanding of the SDLC.
- Experience with Graph Databases (e.g., Neo4j, ArangoDB, GraphDB).
- Familiarity with at least two of the following: ArcGIS, Palantir, RDBMS, Graph Databases.
- Bachelor's degree in Computer Science, Information Technology, or equivalent work experience.
- Excellent presentation and communication skills.
Skills
- Python
- Graph Databases
- ArcGIS
- Palantir
- AWS
Nice to Have
- Experience with JavaScript libraries such as React or Vue.
- Familiarity with geospatial libraries like ArcGIS Maps SDK, OpenLayers, Leaflet, or Cesium.
- Experience with Docker, Elasticsearch, or Palantir.
- Hands-on experience with AWS (EC2, Lambda, S3).
- Experience with ArcPy and ArcGIS API for Python.