Top Remote Data Architect Jobs

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.

The Enterprise Data Architect will design and govern data architecture, create enterprise data models, and ensure data consistency across various systems.

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

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.

Design and automate scalable ETL/ELT pipelines across relational, event, and unstructured sources; implement data governance, metadata and quality frameworks; architect cloud and distributed storage solutions; optimize physical data models and performance; integrate heterogeneous systems (Snowflake, Fabric, SAP, graph DBs); test, monitor, and modernize data infrastructure to support analytics.

Lead enterprise-wide data architecture strategy and delivery, including data modeling, integration, governance, security, and cloud platform adoption. Partner with executives and business units to align data roadmaps, evaluate emerging technologies (including Gen-AI), mentor architecture and engineering teams, and ensure scalable, secure, high-performance data solutions across the organization.

The role involves designing and owning the architecture of a workforce intelligence platform on Snowflake, leading architectural decisions, and ensuring compliance for a Marketplace listing.

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 Principal Data Architect will lead the development of a data architecture strategy, ensuring data availability, consistency, and smooth integration for analytics across teams. This role requires collaboration with various stakeholders to establish standards, governance, and hands-on contributions to data modeling and platform improvements.

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.

Design and maintain enterprise data architecture and lakehouse solutions. Lead data migration, integration, governance, and BI enablement. Define strategy, implement pipelines, ensure data quality, security, and provide technical leadership and mentoring.

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

As a Data Architect, you will define and implement data architecture solutions, collaborate with stakeholders, and design data platforms and pipelines to enhance data management and analytics capabilities.

Lead technical architect for enterprise Agentforce engagements, designing and building complex Agentforce solutions, writing Apex/SOQL, integrating AI data stacks (RAG, vector DBs, search indexes), advising customers and internal teams, creating reference architectures, enabling employees, and feeding product/engineering with field insights while managing multiple client engagements.

The Data Architect will design scalable data solutions, enforce data standards, lead architecture discussions, and collaborate with stakeholders. Responsibilities include managing platforms, ensuring data compliance, optimizing pipelines, and guiding teams toward data-driven solutions.

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.

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.

The Solution Architect - AI & Data leads enterprise AI transformation by advising senior stakeholders, designing solution architectures, and implementing data strategies, ensuring long-term value realization and governance frameworks.

The Solution Architect - AI & Data leads AI transformation engagements, advising C-suite on strategy while designing solutions and governance for enterprise data and AI integration.

The Solution Architect will lead AI transformation engagements, providing expertise in AI strategy and architecture, focusing on customer success, governance, and enabling organizational change.

The Solution Architect will lead AI transformation initiatives, design solution architectures, and ensure governance, focusing on AI strategy and enterprise data integration for clients.

Lead as a Principal Data Architect in a complex hybrid ecosystem, focusing on data movement, enrichment, and orchestration while promoting best practices and innovation across the organization.

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 developing enterprise architecture and modern data platforms, ensuring data governance, quality, security and supporting data-related initiatives across the organization.