Top Remote Data Architect Jobs

Lead enterprise data modeling and architecture for the firm's lakehouse and Fabric platform. Define canonical data models, produce ERDs and dimensional schemas, govern Silver/Gold layers, run design reviews, document ADRs, and align data governance, lineage, security, and data contracts to ensure trusted analytics and self-service consumption.

Lead design and implementation of healthcare data architecture and pipelines, influence stakeholders, mentor teams, ensure compliance (HIPAA/PHI), apply interoperability standards (HL7, FHIR), and drive GenAI and data-driven improvements across health system operations.

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 design and evolution of enterprise data architecture, implement and administer Snowflake, build a centralized CDP, manage Qlik Sense analytics, enforce data governance, mentor analytics teams, and maintain enterprise data models and documentation.

Design, build, govern, and own an enterprise AI data platform that ingests, transforms, stores, and serves data for AI consumers. Define multi-domain data models, data contracts, pipelines, vector and retrieval infrastructure, observability for agentic behavior, and evaluation frameworks. Establish architecture standards, CI/CD, and infrastructure-as-code to enable production AI/ML and LLM applications.

Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.

Lead design and implementation of data architecture and reliable ETL processes to move data between heterogeneous sources and targets. Troubleshoot and resolve data architecture issues, collaborate with business analysts and technology teams, set up and test systems, and optimize ETL performance to support domestic resilience initiatives.

Design, implement, and optimize enterprise data architecture and management for healthcare analytics. Lead data solutions using Microsoft Fabric and Power BI, ensure data governance, integrate imaging and EMR systems, troubleshoot ETL/SSIS, manage projects, mentor staff, and ensure HIPAA-compliant data practices.

Designs and governs Axiom's enterprise data model, sets data governance and quality standards, manages a Data Engineer, aligns data architecture and AI technology choices with enterprise strategy, administers Databricks, and ensures documented lineage, ownership, and data access for stakeholders.

Design and govern Axiom's enterprise data model, establish data governance and quality standards, manage a Data Engineer, align data architecture roadmap with enterprise strategy, administer Databricks, enable AI data access (MCP), and liaison with Product, Operations, and Data Science to ensure accessible, documented, and reliable data assets.

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 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 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 enterprise AI transformation and solution architecture engagements. Advise executives on AI strategy, design end-to-end AI architectures (RAG, knowledge graphs, AI Agents), define data catalog and governance programs, embed responsible AI controls, and drive adoption through change management, enablement, and practice development across complex multi-stakeholder implementations.

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.

The Data Architect will design and evolve the architecture for the Consumer Canvas platform, ensuring data scalability, security, and privacy. Responsibilities include managing data ingestion, PII governance, and collaborating with cross-functional teams to develop and implement innovative data solutions.

Lead design and implementation of enterprise Master Data Management: define MDM architecture, govern master data domains, design integrations with Databricks, ensure data quality and lineage, optimize platform performance, mentor teams, and translate business needs into scalable MDM solutions to support analytics and AI initiatives.

Serve as a senior advisor on enterprise data architecture and Adobe Experience Platform. Lead client discovery, design XDM schemas and identity resolution, guide data ingestion/ETL, governance, and Customer 360 initiatives. Provide technical leadership, mentor teams, review architecture, and contribute templates and best practices across consulting engagements.

Design and govern an enterprise cloud data platform and integration pipelines (primarily Snowflake). Define data models, medallion layers, and standards; build ELT/ETL pipelines, CDC/event-driven ingestion, data quality, metadata, and lineage. Partner with business stakeholders, mentor engineers, and provide architectural oversight to support analytics, reporting, and operational use cases.

Design and maintain enterprise data architecture across AWS and Azure, lead Snowflake data warehouse strategy, ensure data governance and HIPAA compliance, enable BI and AI/ML pipelines, collaborate with engineers and stakeholders, and recommend modern data technologies and standards.

Design and operationalize FHIR-compliant data models and scalable integration solutions to harmonize EHR, HIE, and claims data. Build validation frameworks and automated rules to ensure clinical accuracy and longitudinal integrity. Produce clear documentation and collaborate with engineering and cross-functional teams to support analytics, operational, and research initiatives.

Lead enterprise data architecture for a multi-year SAP ECC to S/4HANA migration. Design canonical models, bridge reporting, integration patterns, and analytics enablement (SAC). Define standards, reference architectures, ETL/ELT pipelines, and governance; coach delivery teams and produce architecture artifacts aligned to TOGAF.

Design, build, and operate enterprise data pipelines and Lakehouse data products on Azure. Lead migrations, implement medallion architectures, optimize Spark and distributed SQL workloads, enforce CI/CD and observability, and support production incident response while partnering with architects, data scientists, and stakeholders.