Data Architect
Define and maintain enterprise data architecture, standards, and roadmaps to support BI, analytics, and AI initiatives. Design scalable data models and resilient ELT/ETL pipelines while establishing governance and security standards.
261 Data Architect jobs in United States available for remote work from home. Apply for positions such as Data Architect, Data Architect, Data Architect and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Define and maintain enterprise data architecture, standards, and roadmaps to support BI, analytics, and AI initiatives. Design scalable data models and resilient ELT/ETL pipelines while establishing governance and security standards.
The Data Architect will design enterprise data strategies, models, and integration patterns while leading data modernization and cloud architecture initiatives. They are responsible for overseeing governance standards, data migration planning, and systems integration engineering.
The Data Architect manages technology transfer agreements, licensing activities, and scientific data systems to support research operations. They serve as a liaison for information management, track project progress, and ensure compliance with financial and reporting requirements.
The Data Architect will own the end-to-end design and implementation of data platforms, including ingestion, lakehouse layers, and transformation pipelines. They will also be responsible for writing code, deploying models, and establishing governance practices across the team.
The Data Architect will lead the technical vision and architectural strategy for the enterprise data platform, focusing on healthcare data integration and governance. They will partner with engineering and product teams to design scalable, performant data pipelines and ensure adherence to architectural best practices.
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The Data Architect will lead the technical vision and architectural strategy for the enterprise data platform, focusing on healthcare data integration and governance. They will partner with engineering and product teams to design scalable, performant data pipelines and ensure adherence to architectural best practices.
The contractor will design and implement a bi-directional synchronization process between NetBox and an Oracle database to establish NetBox as the single source of truth for network inventory. Responsibilities include discovery, development, testing, documentation, and migration support to eliminate duplicate data entry.
You will own complete data engineering workstreams, designing and operationalizing scalable data platforms from discovery through production. You will work directly with client stakeholders to translate business requirements into reliable, secure, and cost-efficient data solutions.
The role is responsible for owning ARES data model governance, managing external integrations, and authoring API documentation. It involves building mock endpoint infrastructure and ensuring alignment with the Department of War Data Strategy.
Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric to power self-serve analytics. Design AI-powered tools and data pipelines while mentoring a cross-functional team of data engineers and analysts.
The Data Architect designs and maintains data infrastructure to optimize business intelligence and scalability. This includes creating ETL mappings, managing data dictionaries, and integrating data from various business lines into a data warehouse.
Maintain and manage the enterprise-wide data lakehouse architecture and Databricks platform to support AI and analytics. Build and optimize complex ETL processes and data pipelines to ensure data integrity and accessibility for business stakeholders.
The Data Architect is responsible for designing and implementing complex data warehousing and data mart structures to support business analytics. This includes defining data interfaces, conducting model reviews, and collaborating with stakeholders to ensure data security and engineering excellence.
Drive data and AI architecture decisions to create scalable, secure, and cost-effective data solutions for federal clients. Translate business needs into technical requirements and provide strategic insights to influence overall data product planning.
The Lead Intelligence Data Architect serves as the subject matter expert for the collection, organization, and usability of cyber threat intelligence across enterprise security teams. This role defines standards for data structure to ensure threat intelligence is effectively consumed by both human analysts and AI-driven automated systems.
The Data Architect designs, implements, and maintains scalable data infrastructures using cloud and on-premise technologies. They are responsible for developing data integration strategies, ensuring data quality, and optimizing data access across the enterprise.
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The Data Architect will participate in data governance committees and ensure the quality, security, and integrity of healthcare data. They are responsible for managing database architecture, mapping data, and maintaining documentation to support program engagement.
Lead enterprise digital transformation initiatives to modernize legacy data, analytics, and AI platforms into scalable cloud-native ecosystems. Architect and implement data warehouses, lakehouses, and real-time pipelines while establishing robust data governance and security standards.
The Principal Data Architect is responsible for defining the data architecture, strategy, and reference designs across a multivendor, multicloud environment. They will establish data governance, quality standards, and enable AI and analytics capabilities through robust data infrastructure.
The Cloud Data Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will drive strategic infrastructure direction and collaborate with cross-functional teams to deliver a scalable data foundation.
The Enterprise Data Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption. They will establish data modeling standards and partner with cross-functional teams to deliver a scalable, secure, and coherent data foundation.
The Senior Data Architect will design and develop data integration strategies while managing data flow and ensuring system performance. They will also oversee a small team and collaborate with cross-functional stakeholders to support enterprise data architecture standards.
The Principal Architect will coordinate with stakeholders to establish project scope and translate business requirements into technical data specifications. They are responsible for designing data platforms, mapping data attributes, and troubleshooting data pipelines across various architectural environments.
Develop and maintain conceptual, logical, and physical data models while creating dimensional and Data Vault models to support analytics. Collaborate with technical and business stakeholders to translate data requirements into effective data architecture and cloud data warehouse initiatives.
The Solution Architect will lead enterprise-scale AI and digital transformation initiatives for federal customers by designing and governing secure, scalable architectures. They will act as a trusted advisor to senior executives, translating complex business challenges into high-value AI-powered solutions using the Microsoft Cloud.
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The Solutions Architect will lead the planning, deployment, and validation of AI data center infrastructure, including power, cooling, and network systems. They will also provide technical mentorship to the team and drive continuous improvement initiatives to enhance infrastructure efficiency and reliability.
The Principal Data Architect designs, governs, and optimizes the enterprise data architecture to support analytics, AI/ML capabilities, and strategic business objectives. They lead the modernization of the data ecosystem by creating reusable patterns, canonical models, and guiding cross-platform implementations.
Design and architect secure data solutions that protect enterprise information across cloud and on-premises environments. Partner with cross-functional teams to develop scalable data platforms and ensure compliance with security standards and regulatory requirements.
Lead the design and implementation of a cloud data lakehouse architecture to integrate marine and anadromous species data into a unified federal platform. Oversee ETL pipeline development, schema harmonization, and the establishment of data quality and metadata standards.
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