Top Remote Data Architect Jobs

Define and lead the architecture of NBCUniversal’s greenfield Microsoft Fabric enterprise data platform. Establish lakehouse, warehouse, integration, real-time streaming, data modeling, governance, security, DevOps, and observability standards. Translate architecture and business objectives into delivery roadmaps, epics, stories, and implementation plans while guiding multidisciplinary engineering teams. Design scalable solutions combining operational, historical, master, and reference data to support reporting, analytics, automation, AI, and reusable data products.

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.

Lead enterprise data architecture strategy and implementation across cloud data platforms, integration ecosystems, analytics, AI, and operational systems. Design scalable lakehouse or warehouse architectures, canonical data models, governance frameworks, data products, and secure healthcare data integrations. Partner with engineering, product, analytics, AI, security, and executive stakeholders while mentoring technical teams. The role requires deep expertise in modern data platforms and integration, with healthcare or insurance experience preferred.

Define and lead the company’s data architecture strategy, roadmap, and standards. Drive the transition from batch to real-time data platforms, guide decisions on governance, security, quality, scalability, and reliability, and identify practical AI applications. Partner with executive, product, and engineering leaders, establish design reviews, influence cross-functional decisions, and lead a global team of senior data architects.

Designs, builds, and operates the company’s Microsoft Fabric data platform and lakehouse architecture. Responsibilities include platform architecture, data ingestion and transformation pipelines, governance, security, metadata, lineage, CI/CD, deployment management, and performance optimization. The role enables reliable datasets for Power BI, reporting, analytics, and future AI initiatives while expanding enterprise data capabilities and transitioning platform ownership in-house.

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.

Designs and implements enterprise cloud data architectures supporting analytics, geospatial visualization, data integration, migration, governance, and high-performance querying. Develops conceptual, logical, and physical data models, data lakes, data marts, OLAP solutions, reusable SQL metrics, and Gold-layer structures using Azure services and SQL Managed Instance. Advises clients and business leaders, aligns technical decisions with enterprise roadmaps, leads data modernization efforts, and optimizes performance, scalability, and cost.

Designs and owns Databricks lakehouse architecture, scalable batch and streaming pipelines, data governance, analytics models, and cloud infrastructure. Leads major platform migrations, establishes engineering and CI/CD standards, manages Terraform and FinOps practices, and prototypes AI use cases. The role advises stakeholders, mentors engineers, and ensures secure, compliant, cost-effective data platforms across cloud environments.

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.

Build and govern curated analytical datasets, KPI definitions, data mappings, and reporting solutions in an Azure-based ecosystem. Analyze and validate complex data using SQL and Python, support data quality and reconciliation, and maintain cloud and legacy ETL workflows. Collaborate with business, architecture, and engineering teams on pipelines, semantic models, data lineage, migrations, and governance. Monitor Azure and Fabric platforms while improving performance, documentation, and self-service analytics capabilities.

Leads enterprise data architecture for a federal transportation agency, including data modeling, data warehouses, data marts, database design, ETL/ELT integration, governance, and cloud modernization. The role architects AWS-based solutions, supports migrations to Databricks and data lakes, integrates disparate systems, and provides technical leadership to stakeholders and development teams.

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.

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.

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.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

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.

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.

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.