LEO Data Processing Architect
Company: Booz Allen Hamilton
Location: Ashburn
Posted on: April 1, 2026
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Job Description:
LEO Data Processing Architect The Opportunity: Everyone is
trying to “harness the cloud,” but not everyone knows how. As a
cloud computing application architect, you know how to create a
cloud-based technical architecture that meets client needs and
takes advantage of cloud capabilities. This is an opportunity to
use the latest cloud technologies as you look for ways to improve
your client’s environment using current cloud capabilities. You’ll
recommend tools and solutions based on your research of the current
environment and knowledge of various on-premise, cloud-based, and
hybrid resources. You’ll use your experience to guide your team as
they help the client overcome their most difficult challenges in
the cloud. We are seeking a Data Processing Architect to design and
implement mission data processing pipelines for Low Earth Orbit
(LEO) satellites, focusing on AWS-native architectures for
real-time ingest, transformation, storage, and exploitation. This
is a hands-on role—you will own technical decisions, produce
reference architectures, and guide engineering teams. What You'll
Work On: Architect AWS-centric data pipelines, from ground-station
ingest, such as AWS Ground Station, through streaming ETL, tiered
storage, cataloging, and secure dissemination. Design cloud-native
reference architecture. Emphasize AWS services such as EKS,
Kinesis, Lambda, S3, Glue, EMR, and Step Functions, and incorporate
Kubernetes, serverless, and IaC, such as Terraform or
CloudFormation. Integrate ground segment workflows. Handle CCSDS
telemetry frames, mission ops interfaces, and downlink ingest with
resilience and low latency. Model geospatial data. Use STAC, COG,
GeoTIFF/NITFS, and OGC APIs for imagery and time-series datasets.
Conduct performance and reliability engineering. Optimize
throughput, autoscaling, caching, and cost controls, and implement
observability with CloudWatch, OpenTelemetry, and
Prometheus/Grafana. Perform security and compliance. Apply
zero-trust principles, encryption, IAM policies, and compliance
frameworks, such as FedRAMP or ITAR/EAR. Prototype and benchmark.
Lead AWS-focused trade studies and proofs-of-concept and produce
decision briefs and architecture runbooks. Enable DevSecOps.
Standardize CI/CD pipelines, container hardening, and
policy-as-code using AWS-native tools and GitHub and GitLab.
Support documentation and lifecycle. Author ADRs, ICDs, and
deployment playbooks and support ATO and readiness reviews. Join
us. The world can’t wait. You Have: 8 years of experience in cloud
architecture and AWS services, including EKS, Kinesis, Lambda, S3,
Glue, EMR, or IAM, and networking 5 years of experience building
high-throughput, real-time streaming, and data lake solutions
Experience with multi-region cloud networking and high-volume data
processing Experience with data storage architectures, including
data discovery and data service APIs Experience in Kubernetes,
containers, IaC, including Terraform or CloudFormation, and CI/CD
Experience with geospatial data processing, including STAC, COG, or
OGC APIs Knowledge of LEO mission data concepts, including downlink
ingest, CCSDS telemetry, and ground segment workflows Knowledge of
security architecture, including encryption, KMS, zero-trust, or
compliance frameworks Ability to obtain and maintain a Public Trust
or Suitability/Fitness determination based on client requirements
HS diploma or GED Nice If You Have: Experience integrating AWS
Ground Station with mission ops toolchains Experience with GPU or
HPC acceleration for image processing Knowledge of US public sector
compliance, such as FedRAMP High, or CJIS Knowledge of RF or SDR
pipelines and forward error correction Ability to produce
architecture artifacts Possession of excellent oral and written
communication skills AWS Solutions Architect – Professional
Certification Vetting: Applicants selected will be subject to a
government investigation and may need to meet eligibility
requirements of the U.S. government client. Compensation At Booz
Allen, we celebrate your contributions, provide you with
opportunities and choices, and support your total well-being. Our
offerings include health, life, disability, financial, and
retirement benefits, as well as paid leave, professional
development, tuition assistance, work-life programs, and dependent
care. Our recognition awards program acknowledges employees for
exceptional performance and superior demonstration of our values.
Full-time and part-time employees working at least 20 hours a week
on a regular basis are eligible to participate in Booz Allen’s
benefit programs. Individuals that do not meet the threshold are
only eligible for select offerings, not inclusive of health
benefits. We encourage you to learn more about our total benefits
by visiting the Resource page on our Careers site and reviewing Our
Employee Benefits page. Salary at Booz Allen is determined by
various factors, including but not limited to location, the
individual’s particular combination of education, knowledge,
skills, competencies, and experience, as well as contract-specific
affordability and organizational requirements. The projected
compensation range for this position is $112,800.00 to $257,000.00
(annualized USD). The estimate displayed represents the typical
salary range for this position and is just one component of Booz
Allen’s total compensation package for employees. This posting will
close within 90 days from the Posting Date. Identity Statement As
part of the hiring process, we will ask you to complete an identity
verification process that leverages advanced biometrics and
artificial intelligence to ensure authenticity and protect against
identity fraud. You are expected to be on camera during interviews
and assessments. We reserve the right to take your picture to
verify your identity and prevent fraud. Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed
to the responsible and ethical use of AI tools. However, we want to
ensure a fair candidate process based on your own skills and
knowledge. As part of this commitment, the use of artificial
intelligence (AI) or other tools to assist with responses during
interviews (whether in-person or virtual) is prohibited unless
permission is explicitly provided . Work Model Our people-first
culture prioritizes the benefits of collaboration, whether it
occurs in person or virtually. To support engagement and effective
communication, employees working virtually are generally expected
to have their cameras on during meetings. Remote : If this position
is listed as remote, there may still be occasions when you are
required to work in person at a Booz Allen or customer facility.
Hybrid : If this position is listed as hybrid, you will be expected
to work from a Booz Allen facility frequently, in alignment with
leadership expectations and the needs of the role. You may also be
required to work from or visit a customer facility. Onsite : If
this position is listed as onsite, work will primarily be performed
at a Booz Allen office or customer facility, where employees will
collaborate directly with colleagues and customers as required by
the role. Commitment to Non-Discrimination All qualified applicants
will receive consideration for employment without regard to
disability, status as a protected veteran or any other status
protected by applicable federal, state, local, or international
law.
Keywords: Booz Allen Hamilton, Sterling , LEO Data Processing Architect, IT / Software / Systems , Ashburn, Virginia