Top Remote Data Architect Jobs

Lead complex data analyses, develop statistical models, write advanced SQL, build data models and dashboards, and establish technical standards for analytics. Mentor analysts, troubleshoot data quality and modeling challenges, partner with data engineering, translate ambiguous business questions into rigorous analyses, and communicate findings to senior stakeholders. Own the analytics function’s technical roadmap while ensuring data privacy and security practices.

Designs and delivers Microsoft Fabric, Azure AI, Power BI, and generative AI architectures for enterprise clients. Leads solution design, prototyping, implementation readiness, governance, quality assurance, and client enablement across complex engagements. Develops AI solution patterns including RAG, vector search, embeddings, semantic search, and prompt orchestration. Leads project and client teams, supports business cases and proposals, reviews technical deliverables, manages risks, and serves as a trusted technical advisor.

Lead data architecture for NAVSUP OIS, including database design, data modeling, warehouse strategy, ETL/ELT pipelines, migration, security, retention, backup, recovery, and performance optimization. Coordinate cloud and containerized environments, guide data engineers and DBAs, and support modernization from Oracle to cloud and analytical platforms. The role also provides technical leadership, architecture planning, integration, risk assessment, and policy development for mission-critical systems.

Designs and governs enterprise data architecture supporting VHA EHR modernization, reporting, analytics, clinical systems, and data integration. Responsibilities include data modeling, governance, metadata and lineage management, APIs, ETL, interoperability, data quality, cloud infrastructure, performance optimization, and stakeholder collaboration. The role also leads architectural enhancements through Agile processes and evaluates emerging data technologies.

Leads end-to-end data architecture for a product line, including data modeling, ETL, migration planning, governance, validation, and analytics. Modernizes legacy VA supply chain data and develops integrations with cloud and enterprise healthcare systems. Implements AI/ML and Generative AI for predictive forecasting, builds real-time supply chain dashboards, and supports automated data exchanges. Ensures data integrity, interoperability, security, privacy, and compliance with VA and HIPAA/PHI requirements.

Leads enterprise data architecture strategy, modernization, and multi-year platform roadmaps. Defines standards for data models, ingestion, transformation, orchestration, quality, governance, observability, and consumption across batch and streaming environments. Provides technical leadership to data engineering and analytics teams, oversees scalable data solutions, mentors technical leaders, and partners with business, engineering, security, and data science stakeholders. Evaluates technologies, guides vendor selection, enables data products, and explores GenAI applications.

Leads technical delivery of Master Data Management solutions using Informatica MDM and PowerCenter. Designs and implements ETL mappings, workflows, transformations, data quality processes, governance practices, SQL data marts, and Python automation. Oversees MDM specialists, monitors production jobs, troubleshoots operational issues, supports testing and validation, tunes performance, documents technical solutions, and collaborates with state agencies, QA, business teams, and project leadership.

Lead cloud data lakehouse architecture for a federal species-data migration program. Design Databricks Delta Live Tables ETL pipelines, harmonize schemas, establish metadata and authoritative-source standards, implement data quality frameworks, oversee version-controlled deployment, and guide FedRAMP-compliant AWS production operations. Produce data model harmonization and operational handoff documentation while supporting pipeline monitoring, maintenance, and government review.

Leads enterprise API and data architecture for a secure federal and DoD-aligned environment. Designs REST and GraphQL interfaces, microservices boundaries, data contracts, integration patterns, governance standards, and Zero Trust security controls. Partners with engineering, cybersecurity, cloud, product, and mission teams on scalable API ecosystems, observability, performance, modernization, and technical governance. Requires an active Secret clearance, bachelor’s degree, 10+ years of relevant experience, and CompTIA Security+ certification.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.

Leads enterprise data architecture strategy, including data warehouses, lakehouses, Data Mesh, integration patterns, streaming, AI readiness, data governance, and Master Data Management. Establishes standards for pipelines, transformations, lineage, data contracts, and data products while advising business units and mentoring data engineering, BI, and MDM teams. The remote U.S. role requires occasional travel to Nashville and extensive experience with cloud data platforms and modern data engineering technologies.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Designs and maintains scalable data architecture, Snowflake warehouses, ETL/ELT pipelines, dimensional data models, and governance processes. Partners with business stakeholders to deliver insights for pricing, inventory, customer segmentation, and marketing optimization. Builds reliable analytics datasets and dashboards, integrates data tools, monitors data quality, and ensures compliance within the regulated cannabis industry.

Design and govern end-to-end data architecture for an integrated supply-chain e-commerce platform: create data models, build scalable ETL/ELT pipelines, ensure GDPR-compliant data governance, enable real-time analytics, optimize databases, plan retention/archival, and prepare data for LLM fine-tuning and RAG use cases.

Lead the architecture and implementation of enterprise-scale GCP data ecosystems, including PB-scale platforms and AWS-to-GCP migrations. Establish data platform roadmaps, self-service architectures, governance, security, quality, and Infrastructure as Code standards. Architect solutions using GCP data, analytics, AI, streaming, and containerization technologies. Lead cross-functional engineering teams, mentor staff, advise executives, manage technical risks, and communicate the business value of data initiatives.

Lead the design, structuring, and governance of Humana's cyber threat intelligence. Own Anomali ThreatStream administration, integrations, data quality, and collection management. Build pipelines and APIs to make CTI usable by analysts and AI/automation, and partner with stakeholder teams to optimize CTI for detection, SOC, and vulnerability workflows.

Own end-to-end data platform architecture across ingestion, lakehouse, warehouse, transformation, modeling, governance, and analytics delivery. Build pipelines, Spark and SQL transformations, data models, and production code. Design Databricks or Microsoft Fabric lakehouses, implement Delta Lake and medallion architecture, establish access controls and governance, and integrate databases, SaaS applications, APIs, files, and legacy systems. Evaluate platform choices based on client workloads, licensing, skills, and cost.

Lead complex enterprise data security deployments and serve as the technical authority for the Data Security portfolio. Develop reference architectures, playbooks, templates, runbooks, and field methodologies; enable and mentor delivery teams; maintain a validation lab; and convert escalations into reusable assets. Own new product introduction for data protection releases, partnering with Product teams before and after general availability. The role requires deep expertise in enterprise security, data protection, integrations, and regulatory standards.

Lead enterprise data architecture for Privia Health’s Snowflake platform, defining scalable modeling, integration, governance, security, and optimization standards. Design Medallion Architecture layers and healthcare data schemas spanning EMRs, claims, eligibility, and value-based care data. Establish dbt, Python, testing, orchestration, and CI/CD best practices; enforce HIPAA, PHI/PII masking, access controls, lineage, and cataloging. Provide technical leadership, design reviews, mentorship, and cross-functional guidance to engineering, analytics, clinical, and product stakeholders.

Leads healthcare data architecture, modeling, normalization, transformation, and integration across FHIR, OMOP, STDM, HL7, and related standards. Oversees data pipelines, terminology mapping, deduplication, quality initiatives, interoperability strategies, and technical documentation. Collaborates across technical and non-technical teams to resolve complex data issues and explore AI and machine learning applications. Requires deep expertise in clinical informatics, healthcare data standards, SQL, Python, R, dbt, ETL, cloud platforms, and version control.

Lead financial reporting delivery and data pipeline operations while improving data controls, quality, lineage, audit readiness, and regulatory compliance. Automate manual workflows using Alteryx, Python, and SAS; resolve production issues; partner with Technology on data models, testing, and enhancements; and analyze datasets for stakeholder reporting. Contribute to metadata, data dictionaries, responsible AI, and scalable data modernization initiatives.

Lead the architecture and implementation of complex cloud-based data solutions for customers. Define strategic data roadmaps, support pre-sales engagements as a data engineering subject matter expert, interview and mentor architects and engineers, and oversee data standards and operating procedures. The role requires extensive AWS data architecture experience across traditional and modern data platforms, including big data, machine learning, generative AI, DataOps, infrastructure as code, CI/CD, and Python automation.

Designs and leads modern, scalable data platforms using Snowflake, dbt, and AWS. Responsibilities include data modeling, batch and streaming pipelines, governance, security, privacy, migration from legacy systems, deployment automation, observability, testing, and enterprise reporting. The role collaborates with technical and business stakeholders, establishes architectural standards, mentors data engineers, and guides platform modernization while balancing performance, maintainability, scalability, and cost.

Leads the architecture, design, and implementation of scalable GCP and Databricks data lakehouse platforms. Designs real-time and batch pipelines, data models, governance, cataloging, security, and performance optimization. Advises clients, translates business requirements into technical solutions, leads project teams, mentors engineers, reviews architectures, and balances strategic planning with hands-on proof-of-concept and troubleshooting work.