Unified Data Platform Technical Development Lead

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $107.9k - $195.1k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• Lead the technical strategy, roadmap, architecture, development, and implementation of Unified Data Management capabilities across the GMS data ecosystem • Define current-state and target-state architecture for a secure, scalable AWS IL5/IL6 data platform • Architect and lead data lake, lakehouse, streaming, and batch-processing implementations • Lead pipelines ingesting, normalizing, correlating, enriching, routing, retaining, indexing, cataloging, and sharing operational data • Design data sharing, catalog, metadata, lineage, schema, quality, data contract, and access-control capabilities • Deliver mission-focused data products supporting network and cyber operations, analytics, automation, and self-healing capabilities • Partner with AI/ML and AIOps stakeholders on governed, model-ready data and operational decision support • Lead integrations using middleware, APIs, message brokers, Kafka, ETL/ELT, data models, and interface-control documents • Optimize cloud data workload architecture, cost, performance, retention, scaling, and observability • Guide and mentor engineers, developers, analysts, and testers; support backlog, prioritization, code quality, design reviews, and delivery • Integrate data capabilities into DevSecOps, CI/CD, infrastructure as code, automated testing, simulators, and deployment workflows • Develop architecture, data-flow, system-design, interface, implementation, testing, acceptance, and transition artifacts • Troubleshoot and optimize data flows, pipeline reliability, data quality, query performance, integrations, and platform constraints • Ensure compliance with DoD cybersecurity, governance, encryption, auditability, RMF, DISA STIG, and classified/unclassified requirements • Collaborate with product owners, architects, operations, network and cyber teams, vendors, and Government stakeholders • Support Engineering Review Boards, trade studies, alternatives analyses, ROMs, proposals, roadmaps, and modernization recommendations • Evaluate emerging data engineering, cloud, AI/ML, AIOps, governance, automation, and network operations technologies

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Systems Engineering, Information Systems, or related technical discipline with 8+ years of relevant experience; Master’s degree with 6+ years; or equivalent additional experience in lieu of degree • Experience leading strategy, architecture, design, development, and delivery of data-driven capabilities in complex enterprise or mission environments • Hands-on experience with data lakes/lakehouses, distributed data platforms, streaming architectures, ETL/ELT, data integration, data modeling, and structured/semi-structured/unstructured data processing • Strong hands-on knowledge of Confluent Kafka or Apache Kafka • Experience with Elastic Stack, including Elasticsearch, Logstash, and Kibana • Experience with AWS data-platform services, including EC2, S3, IAM, KMS, CloudWatch, Lambda, Kinesis, networking, storage, and cost optimization • Experience with secure data sharing, data catalogs, metadata, schema management, lineage, governance, and data quality • Experience with middleware, APIs, message brokers, microservices, and data exchange patterns • Software development experience in Python, Java, SQL, or comparable languages • Experience with OpenShift, Kubernetes, Docker, and deployment patterns • Experience with DevSecOps, CI/CD, Git/Bitbucket, Jenkins/CloudBees or equivalent, Artifactory, Ansible, infrastructure as code, configuration as code, automated testing, and controlled releases • Working knowledge of Agile practices, Jira, and Confluence • Ability to develop and review technical documentation and engineering artifacts • Understanding of cybersecurity, encryption, access controls, IAM, least privilege, auditing, and secure design for classified/unclassified environments • Working knowledge of DISA STIGs, RMF, DoD cybersecurity policies, and compliance frameworks • Ability to lead technical teams, mentor engineers, facilitate design decisions, and resolve complex technical problems • Strong written and verbal communication skills • Ability to obtain and maintain a DoD Secret security clearance; active Secret preferred for start • Ability to obtain Security+ or equivalent DoD 8570 IAT II certification within the required timeframe after start • Preferred: DISA, DISN, DODIN, GSM-O, GMS, or DoD network/cyber operations experience • Preferred: Databricks, Spark, Delta Lake, Unity Catalog, Apache NiFi, Apache Flink, Kafka Streams, ksqlDB/KSQL, AI/ML, AIOps, NLP, LLM-enabled support, network fundamentals, and relevant certifications

🏖️ Benefits

• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement