Design, build, and maintain scalable lakehouse architectures and enterprise data platforms.
Develop and manage secure data ingestion frameworks, including CDC, batch, API, and file-based integrations.
Implement data quality, observability, and monitoring processes to ensure reliable, high-performing pipelines.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, they have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide.
Lead the design and implementation of cloud data lakehouse architecture for federal data migration using Databricks.
Oversee ETL pipeline development, schema harmonization, and data quality frameworks within FedRAMP-compliant AWS.
Produce documentation for government review, including data model harmonization reports and authority source registry.
Peraton is a next-generation national security company that drives missions of consequence across land, sea, space, air, and cyberspace. As a leading mission capability integrator and IT provider, they serve essential government agencies and support all U.S. armed forces branches, delivering solutions to protect the nation and allies.
Lead the technical design and implementation of the RevOS data architecture within Databricks and the DHA War Data Platform.
Assess and restructure existing revenue-cycle data into a scalable, governed, and reusable data model aligned to the healthcare workflow.
Ensure the resulting data architecture directly supports production dashboards, KPI reporting, and drill-down analysis.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. Headquartered in Tysons, Virginia, LMI serves the defense, space, healthcare, and energy sectors with a focus on agility and collaboration.
Define and communicate the long-term data architecture vision, aligning with business strategy.
Lead migration of data pipelines to Microsoft Fabric, ensuring reliable data for business consumption.
Mentor team members and explain complex data concepts to diverse stakeholders.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, they are 8,000 employees across more than 25 countries, collaborating to build solutions with real impact.