Top Remote Data Architect Jobs

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

Analyze, validate, and transform healthcare payer data for HEDIS, CMS STAR Ratings, quality improvement, and regulatory reporting. Translate requirements into data solutions, source-to-target mappings, business rules, process flows, and functional specifications. Contribute to solution architecture, data modernization, governance, UAT, reconciliation, audits, and defect resolution. Collaborate with quality, population health, care management, technical, and client teams to resolve data issues and improve payer reporting and operational performance.

Designs and validates data solutions, database architectures, integrations, data models, pipelines, and process flows. Collaborates with analysts, engineers, architects, data scientists, and business stakeholders to solve complex problems. Develops analytic plans, produces data visualizations and executive reports, maintains data catalogs and quality standards, ensures privacy and regulatory compliance, and mentors teams on data maturity and process improvement.

Designs and architects data solutions involving relational and cloud databases, large-scale data processing, ETL, integrations, APIs, analytics, and reporting. Collaborates with technical and business teams to model scenarios, define requirements, validate deliverables, document data flows, maintain data quality and privacy standards, and communicate architecture recommendations. Provides data expertise, stakeholder engagement, coaching, and mentorship while developing scalable solutions for business processes and decisions.

Leads customer-facing data platform and analytics architecture engagements for enterprise warehouse modernization. Designs scalable data lake and Lakehouse solutions, evaluates analytical workloads, sizes infrastructure, develops migration strategies, and advises on performance, governance, interoperability, and economics. Partners with sales, engineering, product management, and software vendors to create reference architectures, competitive strategies, and repeatable go-to-market motions involving Vertica, SingleStore, Cloudera, Splunk, Elastic, and HPE’s X10K platform.

Designs and delivers enterprise file and object storage architectures for unstructured data, hybrid cloud, AI inferencing, and RAG workloads. Leads customer workshops, assessments, proofs of concept, technical presentations, and pre-sales engagements. Advises on NFS, SMB, S3, performance, scalability, and cloud integration. Partners with product management to influence roadmaps, provides competitive analysis, and positions storage solutions for industry-specific requirements. Extensive customer and partner travel is required.

Advise enterprise clients on AI and data strategies, transformation roadmaps, operating models, governance, privacy, technology rationalization, and business cases. Lead discovery workshops, executive engagements, and art-of-the-possible sessions; prioritize use cases and connect technical recommendations to business outcomes. Build the advisory practice, develop offerings, manage multidisciplinary teams, mentor staff, strengthen client and partner relationships, and support successful distributed project delivery.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

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.

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.

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

Define and govern enterprise data architecture, models, canonical and semantic layers, field-level mappings, and data governance. Partner with IT, Data Engineering, Security, and product teams to ensure data quality, lineage, integrations (Boomi), and platform alignment (Salesforce, Snowflake, NetSuite). Lead M&A data activities, perform hands-on data profiling and validation, and drive adoption of enterprise data standards to support analytics, AI, and automation initiatives.

Lead design and implementation of end-to-end ELT pipelines and transformation layers (dbt) to produce curated, reporting-ready datasets. Define data models, governance, metadata, lineage, and engineering standards. Partner with cross-functional teams to translate requirements, optimize performance and costs (cloud DW like Snowflake), and grow a data architecture practice that supports BI, self-service analytics, and AI agents.

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

Lead technical strategy with channel partners across ASEAN to design, validate, and scale Microsoft Cloud and Data & AI solutions. Drive offer development, run workshops and POCs, enable specializations, and translate technical work into repeatable, revenue-generating partner services aligned to Microsoft Cloud and AI priorities.

Designs and delivers secure, scalable, resilient, and AI-ready data platform solutions on Microsoft Azure. Leads customer architecture sessions, proofs of concept, production deployments, technical enablement, and partner engagements using Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. Advises stakeholders on performance, security, compliance, cost optimization, and operational readiness while supporting cloud adoption, consumption growth, and data modernization initiatives.

Lead architectural design and technical development for data center and mission-critical projects from concept through construction documentation. Coordinate technical drawings, integrate compliant design solutions, manage multiple projects, guide junior staff, and collaborate with clients, consultants, contractors, and internal teams. Monitor timelines, budgets, deliverables, quality standards, and client objectives while ensuring design intent and technical excellence.

Designs, implements, and optimizes end-to-end Microsoft-based data analytics architectures. Responsibilities include data integration, warehousing, modeling, visualization, reporting, ETL/ELT pipeline development, performance tuning, governance, security, and compliance. Provides technical leadership to engineers and analysts, translates stakeholder requirements into scalable solutions, conducts architecture reviews, and supports new opportunity pursuits. The role is remote within specified states and requires four to six annual trips, including corporate onboarding.

Drive enterprise sales opportunities for Stripe’s data products as a technical subject matter expert. Architect data warehouse, pipeline, reporting, reconciliation, BI, and ERP integrations; conduct customer discovery; develop reference architectures and reusable enablement assets; resolve complex technical escalations; influence product priorities and roadmap; support forecasts, marketing events, and executive relationships. Partner closely with sales, presales, product, and engineering teams to grow pipeline and revenue.

Designs, builds, and delivers end-to-end Azure data and analytics solutions for enterprise clients. Responsibilities include advising clients on modern data platform strategies, integrating data sources, developing models and reports, configuring Azure cloud infrastructure, and driving solution implementation. The role requires expertise in data engineering, warehousing, ETL/ELT, dimensional modeling, T-SQL, Azure Data Factory, Azure data services, analysis services, DevOps, and Agile engineering practices.

Leads enterprise data architecture across Federal Student Aid’s Common Data Model, CRM platforms, servicer integrations, analytics, and downstream systems. Defines canonical models, systems of record, data contracts, integration patterns, governance, lineage, quality, security, privacy, and lifecycle controls. Develops reference architectures, decision records, modernization roadmaps, and data-flow designs; evaluates architectural tradeoffs; supports leadership reviews; collaborates across engineering, integration, security, analytics, product, and business teams; and mentors technical staff.

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.

Senior technical leader responsible for enterprise AI and data architecture. Own the AI/data strategy and architecture roadmap, build scalable cloud-native data and AI platforms (lakehouse, data mesh), establish MLOps/LLMOps and model lifecycle practices, enforce data governance and responsible AI, partner with security and product teams, and mentor architecture and engineering teams to drive production-grade AI adoption.

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