Note: The job is a remote job and is open to candidates in USA. Leidos is a pioneering company in defense and intelligence technology, seeking a Data Platform Engineer to support cloud modernization initiatives for the United States Coast Guard. The ideal candidate will lead the evolution of a multi-cloud data ecosystem, driving innovation across AWS and Azure platforms to deliver secure and scalable data solutions.
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
Skills
• 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
• 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
Company Overview
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