
2 - 10 employees
Founded 2019
🏛️ Government
💼 Consulting
🔒 Cybersecurity
Government • Consulting • Cybersecurity
Dynamo Strategies, LLC is a government-focused IT services and consulting firm that provides technology modernization and managed-support services to federal and non-federal agencies. Its stated capabilities include AI/ML, data management & analytics, cloud computing, infrastructure management and modernization, cybersecurity, software development, managed services, project and program management, content management and collaboration, and operations & maintenance. The company positions itself to help government customers adopt innovative strategies and improve operational efficiency.
🔥 7 minutes ago
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2 - 10 employees
Founded 2019
🏛️ Government
💼 Consulting
🔒 Cybersecurity
Government • Consulting • Cybersecurity
Dynamo Strategies, LLC is a government-focused IT services and consulting firm that provides technology modernization and managed-support services to federal and non-federal agencies. Its stated capabilities include AI/ML, data management & analytics, cloud computing, infrastructure management and modernization, cybersecurity, software development, managed services, project and program management, content management and collaboration, and operations & maintenance. The company positions itself to help government customers adopt innovative strategies and improve operational efficiency.
• Participates in planning, definition, and high-level design of data solutions, exploring alternatives and evaluating new technologies. • Develops and maintains scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy. • Designs and implements ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support data domain requirements and self-service analytics. • Collaborates with data domain teams to design and deploy domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions. • Establishes and enforces data governance practices, including compliance with data privacy, access controls, and lineage requirements, across the organization’s data assets. • Maintains a comprehensive data catalog and governance tools, automating workflows to uphold data integrity and ensure discoverability across all domains. • Leads the implementation and ongoing support of data mesh architecture, ensuring seamless integration and data flow across multiple domains. • Ensures the availability and reliability of the organization’s Data Mesh software, managing operations and maintenance of the framework. • Provides guidance and leadership on the cultural adoption of data mesh principles, including organizational training initiatives for data stewards and users. • Communicates effectively with stakeholders to align technical data architecture with business goals, ensuring long-term support for analytics, insights, and innovation. • Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe. • Provide team specific training as needed.
• Experience in Data Architecture: Minimum of eight (8) years of experience designing and implementing data architectures, including large-scale data environments such as data lakes, data warehouses, and data mesh frameworks. • Experience with Cloud Platforms: Minimum of five (5) years of experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud), particularly for data storage, processing, and analytics. • Leadership and Team Management: Demonstrated two (2) years of experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution. • Education: A bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related technical field, preferred.
Apply Now🔥 7 minutes ago
Senior Data Engineer supporting data infrastructure for AI initiatives in construction. Designing scalable data systems and collaborating with cross-functional teams to optimize data quality.
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💵 $150k - $180k / year
💰 Private equity on 2020-11
⏰ Full Time
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