Data Management - Technical Lead

Leidos is looking for a Data Management Technical Lead to support a large U.S. Department of Justice (DOJ) program. The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace. The Data Management Technical Lead will be responsible for overseeing the implementation administration and optimization of our data management environment. This includes managing Azure cloud services SQL Server databases Apache Tomcat applications and leveraging cuttingedge analytics tools like Power BI and Data Bricks. You will provide technical leadership to data engineering teams optimize data pipelines and ensure that systems meet performance reliability and security standards. This work is located onsite in the DC area.

Key Responsibilities:

• Lead the configuration deployment and administration of Azure cloud resources and services ensuring optimal performance scalability and security.

• Manage Azure Storage Azure Data Lake and Azure SQL Database for data storage and analysis needs.

• Oversee Azure Active Directory and other Azure services to manage user access security and compliance.

• Implement automation and scripting solutions for Azure resource management using tools like Azure CLI PowerShell and Azure Automation.

• Optimize database performance backup strategies and disaster recovery planning.

• Perform database migrations version upgrades and ensure consistent database health across environments.

• Administer and troubleshoot Apache Tomcat servers used for web application deployments and integration with data management systems.

• Monitor and optimize Tomcat server performance ensuring reliable and efficient deployment of applications and services.

• Use R Studio to design implement and maintain data analysis and modeling solutions that support decisionmaking across business units.

• Optimize R scripts and packages for largescale data processing and analysis.

• Lead the design and implementation of data pipelines using Azure Databricks ensuring efficient and scalable data processing workflows.

• Optimize data engineering tasks within Databricks including data extraction transformation and loading (ETL) processes.

• Develop and manage interactive reports and dashboards using Power BI transforming raw data into actionable insights.

• Guide teams in creating automated reporting solutions and data visualization best practices.

• Provide technical leadership and mentoring to junior data engineers database administrators and data analysts.

• Provide technical recommendations and solutions to support datadriven business processes helping teams leverage data effectively.

Qualifications:

• Bachelors or Masters degree in Computer Science Data Science Information Technology or a related field and 12 years of related experience.

• 7 years of experience in data management with at least 3 years in a technical leadership or SME role.

• Expertise in Azure Administration and management including Azure SQL Database Azure Data Lake and Azure Storage.

• Deep understanding of SQL Server/Database Administration including performance tuning backup strategies and migrations.

• Handson experience with Apache Tomcat for web application and service management.

• Proficiency with R Studio for data analysis modeling and statistical computations.

• Experience working with Azure Databricks for data engineering and big data processing.

• Advanced knowledge of Power BI for report creation data visualization and dashboard management.

• Proven ability to lead technical teams mentor staff and communicate effectively with stakeholders.

• Strong analytical and troubleshooting skills with the ability to diagnose and resolve complex technical issues.

• Understanding of data governance security protocols and regulatory compliance standards related to data management.

Desirable Skills:

• Experience with Azure DevOps for continuous integration and deployment of data management solutions.

• Familiarity with scripting and automation using PowerShell Python or Azure CLI.

• Certifications in Microsoft Azure SQL Server Databricks or Power BI are a plus.

• Experience with Machine Learning or AI applications in data management (e.g. using R or Databricks).

Original Posting:

For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.