Top Remote Data Architect Jobs

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Designs and delivers Snowflake data architectures on AWS, including dbt-based data engineering and AI-enabled solutions. Leads RAG, vector search, embedding, semantic search, and analytics initiatives from proof of concept through production. Directs project teams, oversees solution quality and budgets, supports proposals and business cases, and serves as a trusted technical advisor to clients. Requires strong data engineering, governance, documentation, communication, and stakeholder-management skills, with travel as needed.

Assess legacy on-premises infrastructure and design a cloud-native data architecture for AccuWeather For Business. Create current- and target-state designs, modernization roadmaps, sequencing plans, technical specifications, and risk mitigations. Partner with engineering and data teams to implement scalable, secure, resilient backend data systems while maintaining reliable enterprise data delivery. Contribute hands-on code, data models, schemas, capacity estimates, cost analysis, and architecture decisions.

Owns enterprise data architecture across warehouses, lakes, lakehouses, streaming systems, governance, modeling, and AI/ML data foundations. Sets platform strategy, architects semantic and unstructured data pipelines, establishes security and observability standards, and drives performance and reliability. Partners with clients and leadership, supports pre-sales, mentors engineers, develops reusable architecture patterns, and remains hands-on with prototypes, production code, and design reviews.

Leads enterprise data architecture for a Department of War modernization program in AWS GovCloud. Responsibilities include data modeling, governance, metadata and lineage management, migration planning, highly available database design, security and privacy controls, API-based data exchange, stakeholder presentations, and mentorship of database and engineering teams.

Designs and builds data ingestion, feature engineering, analytics, and machine learning pipelines using healthcare and other structured or unstructured data. Develops, tunes, deploys, monitors, and documents predictive models and enterprise data products. Collaborates with data scientists, engineers, product managers, and stakeholders while ensuring data quality, reliability, and production engineering standards.

Leads the strategy, architecture, and delivery of an advertiser intelligence platform. Defines canonical data models, golden advertiser profiles, ingestion and identity resolution, AI/ML enrichment, predictive analytics, vector matching, governance, and business workflow integrations. Partners with engineering, product, sales, customer success, operations, finance, and executive stakeholders to deliver scalable, trusted data capabilities and measurable revenue, retention, and decision-making improvements.

Define and lead enterprise data architecture centered on Snowflake, including source integration, ingestion frameworks, data modeling, governance, security, compliance, quality, lineage, and AI-ready data products. Build reference pipelines using AWS and Snowflake services, establish engineering standards, optimize performance and costs, and guide architecture decisions. Partner with analytics and AI teams, lead reviews, mentor engineers, and influence stakeholders across the organization.

Leads a multi-year migration from Amazon Redshift to Databricks on AWS, designs Medallion architecture and data models, develops SQL and Python ETL pipelines, and establishes data quality and governance standards. Manages 4–5 data engineers and Power BI developers while partnering with stakeholders to support trusted reporting and analytics. The role requires hands-on architecture and engineering, technical leadership, LLM-enabled workflow development, and clear communication across technical and non-technical teams.

Lead enterprise Microsoft Fabric data architecture, landing-zone design, governance, security, integration, semantic modeling, DevOps, and AI-ready platform delivery. Design scalable Lakehouse and Warehouse solutions, establish standards and operating models, guide Power BI and data engineering practices, automate deployments, and provide technical leadership across architecture reviews, discovery workshops, and implementation. The role requires deep Azure, Fabric, data engineering, security, and enterprise integration expertise.

Owns enterprise data architecture for Raytheon’s SAP ECC-to-S/4HANA transformation. Designs canonical data models, integration patterns, bridge reporting, semantic layers, and cross-system analytics for finance, supply chain, and other domains. Guides SAP Analytics Cloud, Snowflake, Business Data Cloud, and BODS solutions; establishes governance, standards, lineage, and observability. Creates TOGAF-aligned architecture artifacts, reviews delivery solutions, and coaches technical teams throughout the migration lifecycle.

Leads end-to-end Salesforce data migration and integration initiatives. Designs ETL processes, writes SQL and SOQL queries, develops automation scripts, performs data profiling and transformation, and ensures data quality, security, governance, and reconciliation. Collaborates with Salesforce, integration, and business teams on cutovers, resolves migration issues, documents procedures, and delivers scalable data solutions using automation and AI-enabled tools.

Design and govern end-to-end data architecture for an integrated supply-chain e-commerce platform: create data models, build scalable ETL/ELT pipelines, ensure GDPR-compliant data governance, enable real-time analytics, optimize databases, plan retention/archival, and prepare data for LLM fine-tuning and RAG use cases.

Designs and oversees enterprise data architectures spanning databases, warehouses, lakes, integrations, and cloud environments. Translates business requirements into scalable, secure, and cost-efficient solutions; establishes data modeling, governance, quality, metadata, and security practices; guides engineers and analysts; optimizes infrastructure; and maintains architecture documentation. Requires extensive Databricks, data engineering, big data, cloud, and stakeholder leadership experience.

Designs enterprise data architectures and migration strategies for Adobe Experience Platform modernization across analytics, content, and commerce. Responsibilities include data modeling, schema and pipeline design, governance, identity resolution, data ingestion, integration, migration, validation, reconciliation, and query optimization. The role partners with customers, Adobe teams, engineers, and executives to assess legacy systems, unify data sources, implement secure real-time and batch solutions, and support unified profiles, segmentation, journey orchestration, and campaign activation.

Designs and delivers enterprise data architecture for Adobe modernization initiatives across Analytics, Content, and Commerce. Responsibilities include data modeling, governance, identity resolution, schema design, batch and streaming ingestion, ETL/ELT pipelines, data migration, validation, reconciliation, and performance optimization. The role partners with customers, Adobe teams, engineers, and executives to unify CRM, marketing, sales, content, commerce, and offline data within Adobe Experience Platform.

Architects FHIR-compliant clinical data models and develops harmonization, enrichment, and FHIR-to-OMOP transformation pipelines using dbt and SQL. The role standardizes healthcare data with clinical terminologies, manages value sets, and builds validation frameworks to ensure accuracy, consistency, and longitudinal integrity. It also documents data requirements and collaborates with technical and cross-functional stakeholders.

Leads the architecture, design, and implementation of scalable GCP and Databricks data lakehouse platforms. Designs real-time and batch pipelines, data models, governance, cataloging, security, and performance optimization. Advises clients, translates business requirements into technical solutions, leads project teams, mentors engineers, reviews architectures, and balances strategic planning with hands-on proof-of-concept and troubleshooting work.

Designs and maintains enterprise data architecture, including data lakes, warehouses, integrations, migrations, orchestration, and data management protocols. Partners with architects, DBAs, BI teams, product leaders, and business stakeholders to support analytics and data science. Requires deep experience with cloud data environments, Azure SQL, Microsoft Fabric, Spark, Hadoop, PySpark, SparkSQL, security protocols, and enterprise data integrations.

Leads enterprise data warehouse, reporting, analytics, and transaction-processing architecture and modernization. Designs scalable on-premises and cloud solutions, modernizes ETL and SQL into Python automation, oversees BI delivery, and establishes DevOps and CI/CD practices. Provides hands-on technical leadership across development, testing, deployment, performance, security, and support. Leads proof-of-concepts, produces architecture documentation, presents recommendations, and mentors architects, engineers, developers, analysts, and testers.

Designs and leads scalable, secure, and cost-efficient Snowflake data platforms supporting enterprise analytics, operational reporting, and generative AI applications. Serves as the technical authority for data architecture, modeling, lakehouse design, Snowflake services, dbt transformation frameworks, and Python/Snowpark development. Provides hands-on architectural leadership while influencing executive-level technology strategy.

Lead Salesforce Revenue Cloud data architecture and migration initiatives for CPQ and Billing implementations. Design data models, mappings, transformation logic, migration frameworks, and SQL-based extraction processes. Migrate revenue entities from ERP, billing, and legacy systems into Salesforce, validate data quality, and support testing and cutover. Facilitate customer workshops, manage stakeholders, and collaborate with architects, developers, RevOps, and QA teams.

Own university data integrations from source discovery through validated, signed-off feeds. Build SQL queries and scheduled extracts, model data, support partner upgrades and migrations, translate institutional policies into accurate data feeds, and improve monitoring, documentation, and reusable integration patterns. Collaborate with registrars and database administrators while supporting a named set of university partners. The role requires deep experience with student information systems, including PeopleSoft, and occasional travel for partner onsite engagements.

Lead customer-facing architecture for AI data platforms and AI Factory environments. Design data-centric solutions for RAG, inference, and training workflows; size GPU and storage environments; optimize data movement, retrieval, latency, throughput, cost, and reliability. Partner with customers, sales, and Product Management to qualify opportunities, influence product roadmaps, create reference architectures, and develop scalable go-to-market solutions.

Designs and delivers Microsoft Fabric, Azure AI, Power BI, and generative AI architectures for enterprise clients. Leads solution design, prototyping, implementation readiness, governance, quality assurance, and client enablement across complex engagements. Develops AI solution patterns including RAG, vector search, embeddings, semantic search, and prompt orchestration. Leads project and client teams, supports business cases and proposals, reviews technical deliverables, manages risks, and serves as a trusted technical advisor.