Chief Data and Software Architect

Leidos•Odenton, MD

3d•$154,050 - $278,475

About The Position

Leidos is seeking a Chief Data and Software Architect to join the CTO team for a complex, large-scale DoD program. In this role, you will lead and oversee the planning and development of overall systems architectures, drive and perform analysis of alternatives to ensure the Government properly architects' business and mission solutions using optimum data strategies, systems, and services across a variety of customer missions and task orders within the GSM-O II contract. Our TNs provide next generation data and analytics capabilities to drive delivery across missions that include JIATF-S, DISN Operations Optimization, The White House, SAP missions across the DoD, Cross domain technologies and various Combatant Commands around the world. Our Chief Data and Software Architect is a leader in cultural and technology change. The data and system architectures require data strategies and driving adoption of AI/ML-based solution; methodologies for building and operating highly available, scalable services; emphasis on continual process improvement through automation and introduction of resilient and self-healing applications and workflows. We are seeking a servant leader who has the technical depth and interpersonal communication skills necessary to inspire, lead, direct, and develop sound/resilient architectural solutions for this complex program, while interfacing and building relationships with senior customer and Leidos internal leadership, alike.

Requirements

Master’s with 15 – 20 years of prior relevant experience or Doctorate with 13 – 16 years of prior relevant experience.
Experience with data architecture and pipelines for structured, unstructured, and semi-structured data across various data repositories and data lakes.
Proficiency in programming languages, including Python, JavaScript, Java, SQL, and R.
Experience with data observability and analysis tools including Elastic, Kafka, Kibana, Confluence, and other related applications
Experience with AI/ML models for processing and analyzing large datasets.
Experience with front-end technologies, UI/UX design, and Agile DevSecOps tools, and CI/CD pipelines.
Strong problem-solving, organizational, and exceptional communication and presentation skills with the ability to collaborate effectively with customers, cross-functional teams, and stakeholders.

Nice To Haves

Previous experience with the DISA domain, and the DoD or Intelligence Community communities.
Proficiency in cloud computing platforms (AWS, Azure, Google Cloud, or Oracle Cloud), distributed systems, and microservices architecture; In-depth knowledge of system architecture, design patterns, and best practices.
Proven expertise in mission data and software solutions related to data science, machine learning, or similar technologies.
Strong understanding of Agile methodologies, including Scrum ceremonies and experience with Agile work management tools such as JIRA and Confluence.
Demonstrated ability to drive technological innovation and serve as an agent of change within an organization.

Responsibilities

Lead data architecture and design of high-performance capabilities for DoD and DISA.
Partner with Task Order technical leadership to ensure implementation of data and software development best practices, standards, guidelines and drive consistency and best practices across the IDIQ
Drive innovation and industry trend awareness; Leading teams in DevOps & Agile best practices and Mentor and guide technical teams, fostering innovation and excellence
Collaborate with stakeholders to define data requirements and translate them into solutions to ensure the security, scalability, and sustainability of all systems, translating requirements into secure, scalable solutions.
Integrate new technologies into architectures and evaluate tools for high-quality delivery.
Lead teams in DevOps & Agile best practices and mentor technical teams.
Support the CTO team in driving innovation, creation of Roadmaps, and thought leadership within the customer domain.
Maintain and forward-looking perspective on industry trends and emerging technologies
Document model development processes, results, and best practices for knowledge sharing and reproducibility.
Ensuring security best practices are integrated into the development lifecycle, including compliance with data protection regulations.
Assisting in creating technical documentation and presentations to communicate findings and progress to stakeholders