Leidos Inc
Description
At Leidos, we’re not just delivering solutions - we’re pioneering the future of defense and intelligence technology. Our diverse teams of innovators unite around a singular purpose: empowering our customers to succeed in their critical missions. We believe in leading with integrity, investing in our communities, and building sustainably for tomorrow.
Shape the future of digital defense. Our Digital Modernization sector is at the forefront of next‑generation technology, architecting cutting‑edge solutions in cyber defense, logistics optimization, security operations, and decision intelligence. We’re the minds behind the mission‑critical systems that keep our nation secure.
Ready to engineer solutions that matter? Primary Responsibilities: The Digital Modernization Sector at Leidos is seeking a dynamic
Data Platform Engineer
to support cloud modernization initiatives for the
United States Coast Guard (USCG)
at Command, Control, Communication, Computer, Cyber, and Intelligence Service Center (C5ISC) in the
Alexandria, VA
area. This role is part of a high‑impact program focused on delivering secure, scalable cloud solutions that enable operational agility and resilience across the USCG enterprise. As a Data Platform Engineer on the Operations team, you will lead the evolution and governance of our multi‑cloud data ecosystem. This strategic role is ideal for a hands‑on architect and thought leader who can drive innovation across AWS and Azure platforms, enabling scalable, secure, and intelligent data solutions that power analytics and business transformation. This role is essential to maintain operational integrity, security compliance, and performance across hybrid cloud deployments. You’ll work closely with cloud engineers, cybersecurity analysts, and program leadership to drive continuous improvement and deliver value to the mission.
Key Responsibilities:
Set technical operational direction for data infrastructure, governance, and platform engineering standards
Partner with data science, analytics, and software teams to deliver high‑impact solutions
Drive modernization initiatives
Evaluate emerging technologies and guide adoption strategies across the organization
Champion data security, compliance, and cost optimization in multi‑cloud environments
Architect and implement scalable data pipelines, lakes, or warehouses using cloud‑native tools
Lead Infrastructure‑as‑Code deployments
Optimize distributed data processing frameworks (e.g., Spark, Databricks) for performance and reliability
Oversee CI/CD pipelines and DevOps practices for data platform components
Monitor and troubleshoot cloud data services to ensure uptime and resilience
Work closely with developers, network engineers, and security teams to support cloud‑based applications and services
Support cross‑functional coordination across engineering, cybersecurity, and program management teams
Promote continuous improvement through feedback loops and process refinement
Ensure alignment with USCG mission priorities and Leidos delivery standards
Basic Qualifications:
Bachelor’s degree in a related field (e.g., Computer Science, Information Systems, Business)
12+ years of experience in cloud infrastructure engineering.
Deep expertise in AWS (e.g., Redshift, Glue, S3, Lambda) and Azure (e.g., Synapse, Data Factory, ADLS)
Proven track record of leading enterprise‑scale data platform initiatives
Advanced proficiency in Python, SQL, and distributed computing frameworks
Strong understanding of data governance, security, and compliance frameworks
Experience with containerization (Docker, Kubernetes) and serverless architectures
Excellent facilitation, communication, and stakeholder engagement skills
Ability to work in a fast‑paced, mission‑driven environment
Certifications such as AWS Certified Solutions Architect – Professional or Azure Solutions Architect Expert
Must be a U.S. Citizen and able to obtain a Public Trust and DoD Secret Clearance
Preferred Qualifications:
Prior experience supporting DHS, USCG, or other federal cloud modernization efforts
Experience with Databricks, Snowflake, or other cloud‑native analytics platforms
Familiarity with data mesh, lakehouse architecture, and real‑time streaming (Kafka, Kinesis)
Strong documentation and cross‑functional collaboration skills.
Experience working with technical teams in cloud, cybersecurity, or enterprise IT environments
We’re not looking for perfectly polished resumes or perfect fits. We’re looking for people who break limits, ask hard questions, and don’t wait to be told what’s next. At Leidos, we’re not following the roadmap – we’re redrawing it.
Commitment to Non‑Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
#J-18808-Ljbffr
Shape the future of digital defense. Our Digital Modernization sector is at the forefront of next‑generation technology, architecting cutting‑edge solutions in cyber defense, logistics optimization, security operations, and decision intelligence. We’re the minds behind the mission‑critical systems that keep our nation secure.
Ready to engineer solutions that matter? Primary Responsibilities: The Digital Modernization Sector at Leidos is seeking a dynamic
Data Platform Engineer
to support cloud modernization initiatives for the
United States Coast Guard (USCG)
at Command, Control, Communication, Computer, Cyber, and Intelligence Service Center (C5ISC) in the
Alexandria, VA
area. This role is part of a high‑impact program focused on delivering secure, scalable cloud solutions that enable operational agility and resilience across the USCG enterprise. As a Data Platform Engineer on the Operations team, you will lead the evolution and governance of our multi‑cloud data ecosystem. This strategic role is ideal for a hands‑on architect and thought leader who can drive innovation across AWS and Azure platforms, enabling scalable, secure, and intelligent data solutions that power analytics and business transformation. This role is essential to maintain operational integrity, security compliance, and performance across hybrid cloud deployments. You’ll work closely with cloud engineers, cybersecurity analysts, and program leadership to drive continuous improvement and deliver value to the mission.
Key Responsibilities:
Set technical operational direction for data infrastructure, governance, and platform engineering standards
Partner with data science, analytics, and software teams to deliver high‑impact solutions
Drive modernization initiatives
Evaluate emerging technologies and guide adoption strategies across the organization
Champion data security, compliance, and cost optimization in multi‑cloud environments
Architect and implement scalable data pipelines, lakes, or warehouses using cloud‑native tools
Lead Infrastructure‑as‑Code deployments
Optimize distributed data processing frameworks (e.g., Spark, Databricks) for performance and reliability
Oversee CI/CD pipelines and DevOps practices for data platform components
Monitor and troubleshoot cloud data services to ensure uptime and resilience
Work closely with developers, network engineers, and security teams to support cloud‑based applications and services
Support cross‑functional coordination across engineering, cybersecurity, and program management teams
Promote continuous improvement through feedback loops and process refinement
Ensure alignment with USCG mission priorities and Leidos delivery standards
Basic Qualifications:
Bachelor’s degree in a related field (e.g., Computer Science, Information Systems, Business)
12+ years of experience in cloud infrastructure engineering.
Deep expertise in AWS (e.g., Redshift, Glue, S3, Lambda) and Azure (e.g., Synapse, Data Factory, ADLS)
Proven track record of leading enterprise‑scale data platform initiatives
Advanced proficiency in Python, SQL, and distributed computing frameworks
Strong understanding of data governance, security, and compliance frameworks
Experience with containerization (Docker, Kubernetes) and serverless architectures
Excellent facilitation, communication, and stakeholder engagement skills
Ability to work in a fast‑paced, mission‑driven environment
Certifications such as AWS Certified Solutions Architect – Professional or Azure Solutions Architect Expert
Must be a U.S. Citizen and able to obtain a Public Trust and DoD Secret Clearance
Preferred Qualifications:
Prior experience supporting DHS, USCG, or other federal cloud modernization efforts
Experience with Databricks, Snowflake, or other cloud‑native analytics platforms
Familiarity with data mesh, lakehouse architecture, and real‑time streaming (Kafka, Kinesis)
Strong documentation and cross‑functional collaboration skills.
Experience working with technical teams in cloud, cybersecurity, or enterprise IT environments
We’re not looking for perfectly polished resumes or perfect fits. We’re looking for people who break limits, ask hard questions, and don’t wait to be told what’s next. At Leidos, we’re not following the roadmap – we’re redrawing it.
Commitment to Non‑Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
#J-18808-Ljbffr