Principal Cloud-Native Architect for Earth Data Platforms

Stcnet

Silver Spring (MD)

On-site

USD 120,000 - 165,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

Dental insurance

Vision care

401K with matching

Tuition reimbursement

Bonus/incentive programs

Job summary

STC, a science, sensors, and systems company, is seeking a Principal Systems Architect for the EOSDIS Evolution and Development program in Silver Spring, MD. You will define and maintain the cloud-native architecture, translate mission requirements into scalable solutions, and lead cross-disciplinary architecture reviews across multiple program trains.

The role emphasizes API design, data workflows, and mentorship of engineers, with SAFe at scale experience and a strong background in NASA/NOAA

Qualifications

Bachelor's degree in Computer Science, Systems Engineering, or a related field.
10+ years of experience designing large-scale distributed systems.
Deep expertise in cloud-native architecture patterns on AWS.
Strong API design, microservices, and event-driven architecture background.
Demonstrated ability to lead architecture reviews and drive technical consensus across multidisciplinary teams.
Experience translating complex mission requirements into technical architecture.

Responsibilities

Define and maintain the overall technical architecture for the EED program platform across multiple cloud-native program trains.
Lead architecture reviews and drive technical consensus on platform design, integration standards, scalability, and security.
Design cloud-native solutions on AWS leveraging serverless, microservices, and event-driven architecture patterns for large-scale earth science data workflows.
Translate NASA and ESDIS mission requirements into technical architecture, integration standards, and implementation roadmaps.
Define API design standards, microservices boundaries, and event-driven integration patterns across the program.
Ensure coherent data architecture, storage strategies, and dissemination pathways for earth observation data at operational scale.
Collaborate with systems engineers, product owners, and program leadership to align architecture with timelines and priorities.
Provide architectural guidance and mentorship to engineers across all program trains.
Participate in SAFe planning events, PI planning, sprint ceremonies, backlog refinement, and technical reviews.
Collaborate with cross-functional teams to deliver cloud-native earth science data capabilities on schedule.
Contribute to CI/CD pipeline automation, code review, testing, and documentation.