Technical Lead - Reporting and Analytics

Leidos is seeking a seeking a customer experience focused Technical Lead Reporting and Analytics to lead a team of developers in maintaining legacy ETL and reporting operations utilizing Microsoft data warehousing and reporting solutions, and design and implement data engineering and reporting services for Azure cloud based data lake, SQL, and NoSQL data stores.  As a technical lead, you will work directly with end users to translate business requirements into cloud data engineering and reporting solutions to support an enterprise scale Microsoft Azure based data analytics and reporting platform.  Our ideal candidate is mission focused and delivery oriented, and applies critical thinking to create innovative functions and solve technical issues.

Who we are

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets.  Leidos Civil Group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions.  We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We work with our customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Custom and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient.

This is a fully remote, telework position with potential travel to the Washington D.C. metro area on special occasions.

In this role, you will:

• Work directly with business users to understand data requirements, and develop, deliver, and maintain appropriate data solutions.
• Lead a team of data engineering and reports developers to implement ETL/ELT/data pipelines, reports, dashboards, data extracts, and API based data delivery.
• Ensure continued legacy Enterprise Data Warehouse development and operations utilizing Microsoft SQL Server, SSIS, SSRS, SSAS, Power BI Report Server, Powershell, and related technologies.
• Implement full lifecycle Azure cloud native data pipeline development and operation.
• Support the design and implementation of data models and data pipelines for relational, dimensional, data lakehouse (medallion architecture), data warehouse, data mart, SQL and NoSQL data stores.
• Utilize Microsoft Azure services including Azure Data Lake Storage Gen2, Azure SQL Managed Instance, Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop cloud native data solutions.
• Support reengineering efforts to transition workloads from the legacy Enterprise Data Warehouse to Azure Data Lake Platform.
• Prepare data required for advanced analytics, visualization, reporting, data extracts, and AI/ML.
• Develop and implement processes, procedures, checklists to guide development and operations of the legacy Enterprise Data Warehouse platform and modernized Azure platform.
• Implement data migration, data integrity, data quality, metadata management, performance manaagment, audit data capture, and data security functions. 
• Monitor and troubleshoot data related issues to maintain high availability and performance.
• Implement governance, build, deployment and monitoring to automate platform operation.
• Actively support Agile DevOps process, including Program Increment planning.
• Actively engage in continuous learning to increase relevant skills.
• Maintain strict versioning and configuration control to ensure integrity of data.

For this position, you must possess:

• At least a BS degree in Computer Science or related field and 8+ years experience.
• 4+ years of proven experience leading a team supporting enterprise data warehousing using Microsoft data warehousing and reporting solutions.
• 4+ years of experience working directly with clients to understand data needs, develop and deliver solutions (reports, dashboards, data extracts), and provide continued support.
• 4+ years of experience delivering solutions using Microsoft database, ETL/ELT, and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes).
• 4+ years of experience with more than one of the follow scripting languages: SQL, T-SQL, Python, PySpark, PowerShell.
• Experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.
• Experience with data management and engineering best pra