Cloud Application and Data Architect (Job 1504)

About Us
DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that “Your Mission is Our Passion” and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.
Overview
We are seeking a highly skilled Cloud Application and Data Architect to join our dynamic IT team. The ideal candidate will possess a strong background in cloud computing, data architecture and application integration as well as designing, developing, and implementing software solutions. This role will be responsible for designing and implementing data solutions that leverage cloud technologies, ensuring our data architecture is scalable, secure, and optimized for performance. You will be required to maintain legacy applications/systems while researching how to migrate or recreate the application/systems in the cloud. The candidate will ensure all current and future applications meet the latest security standards and can handle high compute data efficiently. This role requires a blend of professionalism, technical proficiency, scientific acumen, and innovation to support and advance our research initiatives. You will help lead our client’s technical maturity by driving our applications into newly emerging technologies.
Responsibilities
Design and implement cloud-based data architectures that support the needs of our applications.
Integrate applications with cloud data services, ensuring seamless data flow and access.
Optimize data storage, retrieval, and processing in cloud environments.
Develop data models and schemas that support business requirements and ensure data integrity.
Ensure data security and compliance with relevant regulations and standards.
Collaborate with application developers, data engineers, and other stakeholders to understand data requirements and provide technical guidance.
Conduct performance tuning and optimization of cloud data solutions.
Integrate scientific equipment and other hardware into our IT infrastructure.
Lead the adoption of cloud technologies and best practices within our organization.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Conduct code reviews and ensure adherence to coding standards and best practices.
Develop and maintain comprehensive technical documentation.
Provide technical leadership and mentorship to junior developers and other team members.
Stay updated with the latest industry trends and technologies to ensure our applications remain cutting-edge.
Utilize AI and machine learning techniques to enhance clinical research applications and workflows.
Work directly with data scientists, researchers and senior management to better understand their needs and translate them into effective software solutions.
Qualifications
Bachelor’s degree with a minimum of 2 years of experience in application development, data architecture, and cloud computing; or a High School Diploma with a minimum of 8 years of experience.
Proven experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong understanding of integrating scientific equipment and handling high-compute data.
Strong understanding of data integration, ETL processes, and data warehousing.
Experience with data modeling, data governance, and data security.
Working knowledge of AI and machine learning applications in a clinical research setting.
Proficiency in SQL and NoSQL databases.
Proficiency in multiple programming languages (e.g., Java, C#, Python).
Proficiency in both front-end (HTML, CSS, JavaScript) and back-end (PHP, MySQL) development.
Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills and the ability to collaborate effectively with cross-functional teams are a must, as this position will meet regularly with senior staff scientists and researchers.