Job Title: Senior Solutions Engineer
Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly.
Atreides transforms the chaos of petabyte-scale, all-domain data—land, air, sea, space, and cyber—into real-time operational clarity. We are a fast-moving, high-performance international scale company. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous.
Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.
Position Overview: As a Senior Solutions Engineer, you will lead the design and delivery of advanced, customer-facing data solutions built on top of our core platform. Your work will focus on building end-to-end workflows, contributing to core workflow templates, creating reusable solution patterns, and guiding product-aligned R&D efforts that inform the evolution of our data platform. You’ll collaborate closely with customer analysts, internal data scientists, and Platform Engineering to ensure solutions are accurate, scalable, and grounded in operational needs.
This role is ideal for someone who can operate independently in ambiguous, fast-moving environments, prototype new workflows with high technical rigor, and take initiative to scale learnings across deployments and teams.
Team Principles:
At Atreides, we believe that teams work best when they:
- Remain curious and passionate in all aspects of our work
- Promote clear, direct, and transparent communication
- Embrace the 'measure twice, cut once' philosophy
- Value and encourage diverse ideas and technologies
- Lead with empathy in all interactions
Responsibilities:
- Architect reusable patterns for configuring and adapting platform outputs to customer needs.
- Lead end-to-end data integration efforts for complex or sensitive customer datasets.
- Work with domain expert analysts to define QA and validation strategies to ensure analytical outputs meet customer reliability standards.
- Guide the creation of tools and templates that simplify future integrations.
- Conduct high-impact custom analyses in response to analyst inquiries.
- Act as a technical point-of-contact for customer engagements and feedback loops.
Desired Qualifications:
- 5+ years in data engineering, with experience in platform configuration and customer deployment.
- Deep skills in scripting, SQL (Spark SQL preferred), API integration, and cloud-native operations.
- Experience designing quality assurance workflows and integrating validation logic into production pipelines.
- Familiarity with data visualization tools and diagnostic methods for complex data systems.
- Excellent communication and leadership skills, with a track record of cross-functional collaboration.
Compensation and Benefits:
- Competitive salary
- Comprehensive health, dental, and vision insurance plans
- Flexible hybrid work environment
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave
While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.
