Top Remote Data Architect Jobs

The Staff Data Architect will enhance Jellyfish's data platform through architectural design, automation, advanced observability, and efficient data governance, while collaborating across teams.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

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.

The Senior Solution Architect will design and develop solutions using the Microsoft Azure data stack, collaborating with sales teams, and supporting pre-sales activities while mentoring peers.

Architect and implement scalable Azure Lakehouse solutions (Databricks, Microsoft Fabric). Lead cloud data migrations, build ETL/ELT and streaming pipelines, enforce data governance and security, advise clients, run workshops, and mentor teams while managing multiple engagements.

Own and define NetDocuments' multi-year data architecture and lead AWS re-architecture of large-scale data platforms. Design and optimize NoSQL systems (Couchbase, DynamoDB), event-driven pipelines (Kafka, SQS, SNS), and Snowflake analytics. Drive data governance, security, AI-readiness, prototypes, build-vs-buy evaluations, and cross-functional alignment to deliver scalable, cost-effective data platforms.

The Lead Data Architect will define enterprise data strategies, architect modern data platforms, lead pre-sales engagements, and ensure delivery excellence while mentoring team members.

The Cloud Data Architect ensures telemetry in cloud environments meets cybersecurity needs, manages logging, and supports governance and compliance functions.

Define and drive the enterprise data architecture and roadmap, lead large-scale data platform and data mesh design, enforce modeling, lineage, governance, and quality standards, advise executives and stakeholders, and embed AI/LLM-assisted workflows to scale analytics, reporting, and AI/ML use cases globally.

Senior Data Architect (contract-to-hire, remote) to design and implement graph database solutions (Neo4j/Neptune) using property graph models and Gremlin, build streaming pipelines (Kinesis/Kafka) in AWS, and collaborate on architecture and delivery. Strong communication and AWS experience required.

Senior Data Architect (contract-to-hire, remote) to design and implement graph database solutions and data architectures using property graphs/Gremlin, Neo4j/Neptune, AWS streaming (Kinesis/Kafka), and AWS infrastructure. Collaborate across teams, ensure data streaming integration and lifecycle management, and support CI/CD and deployment practices.

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.

Lead data architecture for a greenfield SAP S/4HANA implementation focused on data cleansing, mapping ECC to S/4, migration planning and execution, and validation during mock and go-live cutovers. Collaborate with cross-functional digital technology and business teams, troubleshoot complex SAP landscape issues, and recommend strategic improvements to ensure data reliability and accuracy.

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.

Develop and implement a data management strategy, oversee data governance and architecture, ensure compliance, and manage vendor relationships to support organizational goals.

Senior solution architect advising C-suite on enterprise AI strategy, designing end-to-end AI architectures (RAG, agents, knowledge graphs), leading data catalog and metadata strategies, defining AI governance and compliance, driving adoption and change management, and developing reusable practice IP to ensure measurable value realization.

Lead enterprise AI transformation engagements combining C-suite advisory, solution architecture, data catalog strategy, knowledge-graph design, AI governance, and adoption. Design end-to-end architectures (Now Assist, RAG, AI Agents), define governance and metadata strategies, build reusable practice assets, and drive value realization and change management across complex enterprise customers.

Lead enterprise AI transformation and architecture engagements: advise C-suite on AI strategy, design end-to-end AI and data architectures (including data catalog and knowledge graphs), define governance and responsible AI frameworks, drive adoption and change management, and develop reusable practice assets and thought leadership.

Lead enterprise AI transformation engagements from strategy through delivery: advise C‑suite, design AI and data architectures (including data catalogs and knowledge graphs), establish governance/responsible AI, guide adoption/change management, and develop reusable playbooks and practice IP to drive value realization.

Senior Solution Architect leading enterprise AI transformation: advise executives on AI strategy, design end-to-end AI and data architectures (RAG, knowledge graphs, data catalogs), establish governance and responsible AI practices, drive adoption and change management, and create reusable practice IP and playbooks to realize business value on the ServiceNow platform.

Lead enterprise AI transformation engagements combining C-suite advisory, solution architecture, and change management. Design end-to-end AI architectures (Now Assist, AI Agents, RAG, knowledge graphs), data catalog strategies, governance and compliance frameworks, drive adoption and value realization, and build reusable practice IP and industry playbooks while supporting pre-sales and delivery.

Design and optimize data architectures for healthcare analytics, ensure compliance with standards, and provide guidance on best practices.

Lead design and implementation of a medallion lakehouse on Microsoft Fabric, build ingestion pipelines, data models and BI dashboards, create AI/LLM tools for business users, enforce data governance, mentor data teams, and partner with stakeholders to enable self-serve analytics across marketing, product, finance, and clinical functions.

The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.

Design, deploy, and govern enterprise-scale data architectures and platforms to support analytics and AI. Define modeling standards, integration pipelines, data quality, lineage, and security. Lead technical direction, mentor engineers, evaluate AI tooling, and support proofs of concept and solution roadmaps that enable generative AI and RAG solutions.