Top Remote Data Architect Jobs

Lead design and governance of enterprise-scale data architecture (warehouses, lakehouses, streaming). Define standards for data quality, lineage, observability, and AI-enabled workflows. Mentor engineers, serve as technical escalation, and translate business needs into long-term data architecture and governance strategies.

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.

Lead enterprise systems and data architecture across business domains, define target-state architectures and integration patterns, rationalize shadow IT, guide sensitive-data placement in regulated multi-environment contexts, support major strategic programs, establish architecture governance and review practices, and coach engineering teams to raise architectural maturity.

Serve as a senior strategic and technical lead advising C-suite stakeholders on enterprise AI strategy, solution architecture, data catalog design, governance, and adoption. Design end-to-end AI architectures (Now Assist, AI Agents, RAG, knowledge graphs), lead pilot delivery, develop reusable practice assets, and drive AI governance, change management, and value realization.

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

Serve as SME for database architecture and administration across relational and cloud-native platforms. Design, implement, and optimize transactional and analytical databases, advise on integrations, ensure governance and security, and recommend emerging database technologies to support cloud modernization.

Design and deliver engineering data architecture, governance, and pipelines to enable analytics, automation, and AI. Assess sources, define target-state models and roadmaps, implement ETL/ELT, integrations, semantic models, dashboards, and data-quality practices across engineering systems.

Design, develop, and optimize scalable database solutions (ODS/warehouse) to support enterprise analytics and operational reporting. Lead architecture, project management, and standards; collaborate with analytics teams and leadership on interfaces and specifications; monitor performance and SLAs; implement ETL, data modeling, SQL tuning, and data integration; maintain development standards and evaluate technical approaches.

Senior, hands-on role defining enterprise data architecture and standards across cloud platforms (Snowflake, Databricks, Azure). Design data models, integration patterns, governance, and pipelines to support analytics and AI/ML. Lead platform decisions, ensure security, metadata, and MDM; mentor teams and drive architecture reviews and documentation.

Design and govern enterprise Salesforce data models, migrations, integrations, and governance. Ensure data quality, security, analytics readiness, and support Data Cloud, Customer 360, and AI use cases across complex ecosystems.

The Data Architect will integrate systems, collect and exploit datasets for operational needs, and ensure compliance in data handling. Responsibilities include cloud solution implementation, networking configuration, technical documentation, and project management.

Lead enterprise data architecture on Snowflake, define Medallion Architecture and data modeling standards, guide dbt/Python pipeline frameworks, enforce HIPAA-compliant governance, optimize performance and cost, and mentor engineers while collaborating with analytics, clinical, and product stakeholders.

Design, configure, and maintain Teamcenter BMIDE data models, translate Navy engineering and lifecycle requirements into PLM data structures, enforce data standards, produce documentation, support deployments, integrations, testing, and troubleshoot BMIDE/schema issues to enable a unified, scalable NPLM environment.

Lead definition and evolution of cloud data architecture and analytics platform using a lakehouse approach. Design secure, scalable AWS data platforms, medallion data layers, data modeling standards, ETL/ELT and streaming pipelines, governance, observability, and AI/ML enablement. Drive tool selection, cross-team architecture reviews, mentor engineers, and enforce data security, compliance, and operational excellence across the organization.

Design and advance enterprise data and BI architecture: optimize OLTP/OLAP models, establish modeling/integration/governance standards, lead POCs, mentor teams, enable AI/ML, and guide cross-functional implementation from concept to production.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

Responsible for designing and managing cloud architectures, migrating client systems to the cloud, optimizing data pipelines, and mentoring team members.

Design and govern R&D data architecture connecting discovery, clinical development, regulatory and operations. Own enterprise data models, integrations, automation and AI data designs; produce architecture roadmaps, end-to-end data flows, and mentor teams while ensuring scalability, security and regulatory compliance.

Lead design and governance of enterprise data architecture for an integrated care platform. Architect scalable Azure-based data platforms, data lakes/warehouses, ETL/ELT pipelines, and integration across EHR, Dynamics, claims, and third-party systems. Establish data governance, quality, metadata and MDM standards, ensure HIPAA/HITRUST compliance, leverage AI for system improvements, and partner with product, engineering, clinical, and business stakeholders to deliver secure, high-performing analytics and reporting solutions.

Design and architect AI-ready data platforms for telecom OSS/BSS, enabling LLMs, RAG, AI agents, scalable batch/streaming pipelines, feature engineering, ML lifecycle, and enterprise AI deployment.

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.

Support to evaluate and implement scalable data infrastructure. Work with technical teams to optimize data delivery and build reliable data systems. Expertise in data modeling, integration patterns, and data quality assurance is essential.

Design and own an enterprise-scale, multi-cloud data and analytics platform for the VA. Lead migration and modernization, implement governance/security/compliance for sensitive PII/PHI, enable AI/ML capabilities, support ingestion and interoperability across VA systems, and produce architecture and compliance documentation while collaborating with engineers, analysts, and stakeholders.

Own and implement the canonical data model and governance for a multi-tenant MEP SaaS platform. Architect data for AI/ML readiness (RAG, embeddings, vector search), design polyglot persistence and lake/lakehouse pipelines, lead staged modernization and migrations, produce hands-on prototypes and in-repo guardrails, and partner with platform, DB engineering, and ML teams to ensure data quality, lineage, and observability.

Design and implement enterprise data architectures and lakehouse/warehouse solutions using Microsoft Fabric, Databricks or similar platforms. Lead data modeling, ETL/ELT pipelines, cloud integration, CI/CD, and stakeholder-facing consulting engagements to deliver scalable, secure analytics systems.