Systems Architect - DevSecOps

Analytica is seeking a Systems Architect - DevSecOps to provide strategic and technical leadership in designing, implementing, and optimizing secure, scalable, and automated enterprise data platforms and cloud solutions. This role serves as the lead DevSecOps architect responsible for integrating modern software engineering, security, and infrastructure automation practices into enterprise data ecosystems, with a strong emphasis on Databricks, AWS, and cloud-native technologies.

The ideal candidate is a hands-on technical leader with deep expertise in DevSecOps, cloud architecture, infrastructure automation, and platform engineering who can bridge Data Engineering, Infrastructure, Security, and Development teams to deliver reliable, secure, and scalable solutions.

Key Responsibilities
DevSecOps Architecture & Leadership

• Serve as the Lead DevSecOps Architect for enterprise data platforms and cloud solutions.
• Provide expert technical leadership and architectural guidance to project teams throughout the solution lifecycle.
• Design, implement, and oversee secure, scalable, and automated architectures supporting cloud and hybrid environments.
• Establish DevSecOps standards, governance, and best practices that enable rapid, secure, and reliable software delivery.
• Mentor engineering teams on modern DevSecOps methodologies, infrastructure automation, and platform engineering principles.

Automation & Security

• Design and implement CI/CD pipelines for applications, infrastructure, and data solutions.
• Integrate security controls, automated testing, compliance validation, and Infrastructure as Code (IaC) practices throughout the development lifecycle.
• Champion DevSecOps practices that embed security, governance, and quality into every stage of solution delivery.
• Drive continuous improvement through automation, monitoring, logging, and performance optimization.

Strategic Collaboration

• Collaborate with program architects, technical leadership, and stakeholders to align platform architecture with business and mission objectives.
• Partner with Data Engineering, Infrastructure, Development, and Security teams to deliver integrated enterprise solutions.
• Evaluate emerging technologies and recommend innovative platform capabilities that improve engineering efficiency and system reliability.
• Provide architecture reviews, technical roadmaps, and strategic recommendations to executive leadership.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (Master's preferred).
• 10+ years of progressive experience in DevSecOps, cloud architecture, platform engineering, or enterprise infrastructure.
• Demonstrated experience serving as a technical lead or subject matter expert for enterprise DevSecOps or cloud modernization initiatives.
• Experience leading cross-functional technical teams supporting enterprise data platforms and cloud solutions.
• Experience implementing DevSecOps practices within regulated or federal environments.
• Experience supporting enterprise data platforms and cloud modernization initiatives.
• Knowledge of cloud security frameworks, governance, and compliance standards.
• Experience with large-scale infrastructure automation and platform standardization.
• Familiarity with Agile delivery methodologies and product-oriented platform development.

DevSecOps & Platform Engineering

• CI/CD pipeline architecture and automation
• Infrastructure as Code (Terraform, CloudFormation, or similar)
• Platform engineering and environment automation
• Containerization and orchestration technologies
• Security automation and compliance integration
• Observability, logging, and monitoring frameworks

Cloud & Data Platforms

• AWS cloud architecture and services
• Databricks Lakehouse Platform
• Apache Spark
• Distributed data processing frameworks
• Enterprise data platform architecture
• Cloud migration and modernization strategies

Infrastructure & Automation

• Infrastructure provisioning and configuration management
• System reliability and performance optimization
• High availability and disaster recovery planning
• Platform monitoring and operational support
• Security and access management

Leadership

• Enterprise architecture governance
• Technical strategy development
• Cross-functional collaboration
• Stakeholder engagement and executive communication
• Technical mentoring and team leadership

Certifications
Candidates should possess one or more of the following certifications:
AWS

• AWS Certified Solutions Architect - Professional
• AWS Certified DevOps Engineer - Professional
• AWS Certified SysOps Administrator

Databricks & Big Data

• Databricks Certified Data Engineer
• Databricks Certified Developer for Apache Spark
• Apache Spark or Big Data certifications

Analytics & Visualization

• Databricks certification
• Tableau Certified Professional (Desktop or Server)

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.
• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.