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Data Operations and Development Lead

Leidos

$126,100 - $227,950
Aug 20, 2025
Gaithersburg, MD, USA
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Leidos is seeking a Data Operations and Development Lead to spearhead development and delivery of critical reports, dashboards, and advanced analytics to Federal Government clients, addressing their day-to-day and strategic data needs that support activities of national importance.

Requirements

  • 8+ years of experience leading a Microsoft Azure cloud based data analytics team.
  • Experience leading team of data specialists, including business analyst, data architect, data modeler, data engineers, Azure cloud administrator, report developers.
  • Leadership experience delivering enterprise scale cloud data solutions, including reports, dashboards, visualization, data extracts, Ad Hoc query capabilities.
  • Experience implementing Azure cloud native services-based data engineering, data lakehouse, data warehouse, multi-dimensional and normalized data models, reports, data extracts, and other data services.
  • Experience delivering solutions using Azure services such as ADLS, ADF, Synapse Analytics, Apache Spark.
  • Experience with the Microsoft Business Intelligence Stack (Power BI, SQL Server, SSAS, SSRS, and SSIS).
  • Ability to use data query and reporting tools such as SSMS, Power BI, SQL query tools.

Responsibilities

  • Lead data analytics team members to drive full data lifecycle activities, including new capabilities.
  • Manage design, development, deployment, and operation of Microsoft Azure based data solutions.
  • Incorporate best practices in cloud based data infrastructure, data architecture, data quality, data security, data standards, data management, data governance, data engineering, performance optimization, reporting, and analytics.
  • Collaborate with the client to maintain technical roadmap, ensuring incorporation of latest tools and technologies such as Generative AI.
  • Ensure appropriate project knowledge management and documentation.
  • Manage training, knowledge transfer, and support to client data management team and users.
  • Lead data analytics team members to drive full data lifecycle activities, including new capabilities.

Other

  • Work closely with business stakeholders to understand ongoing and future data needs.
  • Build relationships at every level of the organization and develop a deep understanding of the business context.
  • Work with the primary client to prioritize and manage day to day activities, task prioritization, team utilization, and data deliveries, utilizing Agile project and task management.
  • Manage day to day operations to ensure all stakeholder commitments are met.
  • Establish, maintain, and coordinate Agile development and operations, including Program Increment Planning.