Overview
Data Operations and Development Lead. Department: Information Technology. Location: Remote - With quarterly travel to DC. Role Type: 6-month contract with extension. Public Trust Required.
This organization is a global technology, engineering, and science solutions provider delivering mission IT, security, software, engineering, and operations services to government and regulated customers. The role involves leading a team of data specialists to deliver reports, dashboards, and advanced analytics for a Federal Government client, and aligning data initiatives with business processes that have nationwide impact.
Responsibilities
- Work closely with business stakeholders to understand ongoing and future data needs.
- Build relationships at all levels of the organization and develop a deep understanding of the business context.
- Prioritize and manage day-to-day activities, task prioritization, team utilization, and data deliveries, using Agile project and task management.
- Lead data analytics team members to drive full data lifecycle activities, including new platform, data engineering, and reporting capabilities.
- Oversee day-to-day operations to ensure stakeholder commitments are met.
- Lead migration from legacy data warehouse and BI platform to the cloud-native Azure platform.
- Contribute hands-on with SQL and related technologies to facilitate data analysis, troubleshooting, data quality checks, and demonstrations.
- Establish and coordinate Agile development and operations, including Program Increment Planning.
- Manage design, development, deployment, and operation of Microsoft Azure-based data solutions.
- Coordinate support from infrastructure, vendors, and government service providers.
- Promote continuous learning and propose new approaches to meet client needs.
- Drive best practices in cloud data infrastructure, data architecture, data quality assurance, data security, data standards, data management, data governance, data engineering, performance optimization, reporting, and analytics.
- Collaborate with the client to maintain a technical roadmap, incorporating latest tools and technologies such as Generative AI.
- Ensure project knowledge management and documentation; manage training and knowledge transfer to the client data management team and users.
Required Experience/Skills
- At least a Bachelor’s degree in a relevant field and 12+ years of experience.
- 8+ years of experience leading a Microsoft Azure cloud-based data analytics team.
- Strong communication skills; ability to lead a team of Data Specialists including Business Analysts, Data Architects, Data Modelers, Data Engineers, Azure Cloud Administrators, and Report Developers.
- Experience delivering enterprise-scale cloud data solutions (reports, dashboards, visualization, data extracts, ad hoc queries).
- Experience using Agile processes (Kanban/Scrum) to drive daily platform operations and new development.
- Experience implementing Azure-native data engineering, data lakehouse, data warehouse, data models, and related data services.
- Experience with data architecture, data quality, data security, data standards, data governance, and data engineering best practices.
- Experience delivering solutions using Azure services such as ADLS, ADF, Synapse Analytics, Apache Spark.
- Experience with Microsoft BI stack (Power BI, SQL Server, SSAS, SSRS, SSIS).
- Ability to use data query and reporting tools such as SSMS, Power BI, and SQL query tools.
- Ability to articulate Azure-based integrated architecture, including access to external data sources (AWS and on-premises).
- Understanding of AI/ML and Generative AI applications to data analysis.
- Strong analytical and problem-solving skills; detail-oriented with good multi-tasking and follow-through.
- Ability to obtain a government-issued Public Trust clearance.
Nice-to-Haves
- Power BI and Microsoft Azure data analytics certifications.
- Experience delivering GenAI and AI/ML outcomes.
Education
At least a Bachelor’s degree in a relevant field.
Pay Summary
- Pay rate up to $78/hr W2, depending on experience