Catapult Solutions Group
Data Operations and Development Lead
Catapult Solutions Group, Baltimore, Maryland, United States, 21276
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
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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
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