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 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.

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.

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.

The Data Architect will design data architecture, drive strategy for data warehousing, oversee reporting projects, and mentor the team while ensuring compliance with standards.

Lead the data team in building a data vault and warehouse on Snowflake, manage tasks, and ensure quality data through sprint cycles.

Lead the design and evolution of enterprise-scale distributed systems, architect high-throughput data pipelines, and enforce architecture governance.

Define and govern enterprise data architecture, integration frameworks, data models, governance standards, and scalable GCP data platforms. Lead architecture decisions covering batch and real-time processing, Data Mesh and Lakehouse patterns, ETL/ELT, APIs, streaming, security, performance, observability, privacy, and compliance. Partner with technical and business stakeholders, guide data initiatives, establish platform standards, and mentor engineering teams on architecture and integration best practices.

Support and architect clients' Azure data platforms and Power BI environments within Managed Services. Design Databricks Lakehouse and Delta Lake solutions, build and maintain data pipelines, advise on governance/licensing, resolve escalations, mentor junior staff, communicate with clients, create documentation, and promote best practices for HIPAA-compliant healthcare data solutions.

As a Data Architect, you'll design, implement, and maintain data infrastructure, and lead the delivery of new data solutions in a collaborative environment.

The Data Architect will design business data models, define data architecture frameworks, mentor teams, and enhance data governance across AI and data initiatives.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

The Salesforce Data Architect will lead complex data migration initiatives, ensuring data quality and governance while collaborating with stakeholders to implement scalable Salesforce solutions.

Lead design and governance of a large-scale AdTech data layer: model conceptual/logical/physical schemas, profile and map data flows, define batch and real-time ingestion and integration patterns, architect cloud-native AWS solutions (including graph/vector/RAG use cases), establish governance, and produce architecture artifacts and implementation roadmaps while collaborating with engineering, product, and cloud teams.

The Principal Data Architect will design and oversee the enterprise data architecture, ensuring effective modeling, integration, governance, and consumption of data across the organization. Responsibilities include building data models, implementing lakehouse strategies, and partnering with multiple teams for the evolution of data practices.

Lead the architecture and implementation of enterprise-scale Azure data and AI platforms, including data lakes, lakehouses, warehouses, integrations, machine learning, and generative AI solutions. Establish governance, security, MLOps, and AI frameworks; guide cloud modernization, migration, performance, and cost optimization. Translate business needs into technical architectures, present recommendations to executives, lead architecture reviews, support client pursuits, and mentor engineering teams.

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.

Design and maintain scalable HR data architecture in Snowflake; build and optimize ETL/ELT pipelines with Matillion; enforce data governance, quality, lineage and security; manage SQL Server metadata environments; implement DevOps for data assets; partner with stakeholders and support AI-ready semantics and reusable data products.

Lead enterprise AI transformation engagements as a senior strategic and technical advisor. Advise executives on AI strategy, design end-to-end AI and data architectures (RAG, knowledge graphs, MCP), architect data catalog and metadata strategies, embed AI governance and responsible AI controls, and drive adoption, change management, and practice development across customers.

Lead enterprise AI transformation and solution architecture engagements from strategy through delivery. Advise executives, design end-to-end AI and data architectures (RAG, knowledge graphs, data catalogs), define governance and responsible AI frameworks, drive adoption and change management, and develop reusable practice IP and playbooks to scale AI across the ServiceNow platform.

Lead enterprise AI strategy and transformation engagements, advise executives, design end-to-end AI and data architectures (including RAG, knowledge graphs, data catalogs), define governance and responsible AI practices, drive adoption and change management, and develop reusable practice IP and thought leadership to enable scalable enterprise AI programs.

Lead enterprise AI transformation engagements combining C-suite advisory, solution architecture, and change management. Design end-to-end AI architectures (RAG, knowledge graphs, Now Assist), data catalog strategies, governance, and adoption plans. Drive pilot delivery, reusable practice assets, and measurable value realization across complex, multi-stakeholder enterprise programs.

Lead enterprise AI transformation and architecture engagements from strategy through delivery. Advise executives on AI roadmaps, design end-to-end AI and data architectures (including knowledge graphs, data catalogs, RAG, and integrations), establish governance and responsible AI practices, drive adoption and change management, and develop reusable practice assets and thought leadership to realize business value.

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.