Top Remote Data Architect Jobs

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.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.

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.

Lead assessment of a public-sector data integration environment, documenting systems, interfaces, data flows, dependencies, lineage, and integration patterns. Evaluate Snowflake, Azure, cloud data platforms, governed data sharing, analytics, security, and identity models. Develop vendor-neutral future-state architecture options, modernization roadmaps, implementation sequencing, staffing and cost estimates, and gap analyses. Facilitate discovery sessions and present technical recommendations to technical, business, and executive stakeholders.

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.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

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

Owns end-to-end technical architecture for Salesforce Data 360 and Agentforce solutions. Designs scalable data models, ingestion and identity-resolution strategies, real-time activation, RAG and generative AI solutions, integrations with MuleSoft and enterprise data platforms, and CI/CD practices. Collaborates with customers and delivery teams throughout the project lifecycle, mentors technical staff, and ensures secure, governed, well-tested deployments.

Senior hands-on Cloud Data Architect responsible for designing scalable, secure Snowflake-based data platforms and lakehouse solutions, enabling enterprise analytics and AI-native applications. Lead architecture, create design artifacts and blueprints, define scope and sizing, translate business requirements into technical solutions, collaborate with security and data teams, mentor junior staff, and guide implementation.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.

Lead strategic architecture for front-office investment technology and data solutions, advising on platform selection and implementation (Aladdin, Charles River, Bloomberg, etc.), guiding data architecture, governance and quality, managing small-to-medium implementation teams, and ensuring delivery across portfolio management, trading, and reporting domains.

Lead enterprise data strategy and design cloud-native lakehouse platforms. Build real-time and batch pipelines, architect generative AI (RAG, vector DBs, multi-agent), implement MLOps and feature stores, create BI solutions, establish governance, and lead/mentor technical teams while consulting with executive stakeholders.

Design and deliver enterprise data infrastructure and architectures across on-prem and Azure cloud. Build ETL/ELT pipelines, data models, governance, security, and migrations; mentor teams and align data platforms to business, compliance, and analytics needs.

Design, build, and prototype data platforms and streaming applications (Kafka, Spark, Flink). Create data schemas, integrate IT Ops tools (LogicMonitor, ServiceNow, BigPanda), configure platforms for performance/security, mentor peers, support pre-sales, and lead technical delivery across cloud environments.

The Solutions Architect will engage with strategic customers, design end-to-end solutions for AI-driven engineering workflows, and provide guidance on adoption strategies while collaborating with account teams and product stakeholders.

Design and deliver Databricks-centric data architectures, lead pre-sales and billable engagements, build end-to-end data engineering pipelines for AI/ML and BI, mentor teams, ensure data governance/security/quality, and resolve data system issues while producing solution documentation and presentations.

As a Salesforce Technical Architect focused on Data & AI, you'll design and implement solutions using Salesforce Data 360, oversee technical projects, collaborate with various stakeholders, and mentor junior staff to drive AI innovations.

Lead pre-sales technical discovery and serve as the primary architectural authority for enterprise AWS AI/ML, data, and cloud modernization initiatives. Design Bedrock and SageMaker solutions, migration strategies, and modern data platforms; develop AWS cost models, SOWs, proposals, and funding inputs; evaluate risks and compliance requirements; and coordinate technical handoffs with delivery teams. The role partners with account executives, AWS field teams, customers, and internal engineers without carrying a sales quota.