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.

Own clinical study data architecture from planning through database lock. Design EDC databases, specifications, edit checks, validation, and analysis-ready data structures; manage queries, data reviews, reconciliations, safety coding, change requests, reports, and audit-ready documentation. Collaborate with Clinical Operations, Biostatistics, Product, and program leadership while using Python, R, SQL, AI, and automation to improve data quality and delivery within GCP and regulatory requirements.

Owns data architecture and design authority for Plant to Stock ERP systems. Defines data models, governance, integration, transformation, reporting, analytics, security, and lifecycle practices. Approves functional and technical specifications, enforces integration standards, collaborates with functional and technical leads, and documents analytics architectures and metrics. Requires complex analytics experience, SAP analytics expertise, production or distribution domain knowledge, and the ability to communicate technical concepts to executives and nontechnical audiences.

Designs and manages enterprise data architectures, models, databases, ETL solutions, catalogs, metadata, and governance practices. Tracks legacy and 1LMx data through an enterprise modernization, ensuring data quality, lineage, retention, compliance, and fitness for reporting and analytics. Coordinates with federated governance teams, records managers, and diverse stakeholders to support transitional architectures and data standardization.

Owns data architecture and design authority for Plant to Stock and 1LMX ERP systems. Defines data transformation, integration, modeling, governance, security, and management practices. Designs analytics solutions across multiple data sources, approves technical and functional specifications, enforces ETL and replication standards, and partners with functional and technical leads. Documents analytics architectures, strategies, and metrics for technical and executive audiences while supporting SAP analytics and complex system deployments.

Leads secure, scalable customer data architecture across Adobe Experience Platform and cloud environments. Designs data strategies, models, governance frameworks, ingestion and integration solutions, migrations, and real-time customer profiles. Partners with data engineers, Adobe, and clients to address data quality, security, privacy, performance, and regulatory requirements. Uses SQL, scripting, APIs, and Postman to support implementation and automation while providing technical leadership across multiple customer projects.

Design and implement enterprise data architectures supporting batch and real-time analytics, ETL/ELT, data warehouses, streaming pipelines, CDC, and cloud data platforms. Build AI-ready data infrastructure for RAG, vector search, and Generative AI applications. The role requires production experience with Treasure Data/CDP, Kafka, Snowflake or Databricks, cloud services, and modern AI data engineering technologies.

Design, architect, and build batch, real-time, and event-driven data platforms and streaming applications. Integrate monitoring and IT operations tools, create data schemas and models, mentor peers, engage in pre-sales, and provide technical leadership and documentation for enterprise data solutions.

Own the architecture and standards for a trustworthy BI analytics platform. Design data models, ingestion and transformation patterns, lineage, PII controls, reliability SLAs, observability, schema governance, and cost management. Partner with engineers, analysts, business leaders, Security, Legal, and Compliance; enforce testing, CI/CD, infrastructure as code, and data quality practices. Mentor data professionals and document architectural decisions.

Leads enterprise data-platform architecture for clients using Microsoft Fabric and Azure. Responsibilities include discovery, target-state design, data modeling, migrations, DevOps and CI/CD, governance, security, AI/ML enablement, consulting, pre-sales, technical delivery leadership, mentoring, and development of reusable architecture assets. The role requires hands-on Fabric production experience, enterprise-scale implementation ownership, advanced SQL and Python/PySpark skills, client communication, and travel up to 25%.

Designs and implements scalable data lakehouse platforms on GCP, including BigQuery, GCS, BigLake, and Dataplex. Leads real-time and batch data pipeline development, data governance, metadata management, security, and performance optimization. Partners with clients and stakeholders to translate business needs into architecture, leads technical teams, mentors engineers, and provides hands-on solutioning and technical advisory support.

Lead the enterprise data architecture strategy, standards, and governance. Design logical and physical data models, source-to-target mappings, data integration and warehouse architectures, metadata repositories, data dictionaries, and RDM/MDM solutions. Establish data quality, reference data, master data, and metadata policies while supporting business intelligence implementations. Provide technical leadership, mentoring, documentation, testing support, and guidance across database development projects.

Designs and optimizes enterprise data warehouse solutions, SQL queries, ETL workflows, and Tableau dashboards. Responsibilities include data ingestion, performance tuning, data quality validation, BI governance, documentation, and reporting automation using SQL, Python, and Tableau. The role collaborates with business partners to translate data needs into actionable insights and supports mission-critical analytics applications in a fully remote environment.

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.

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.

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.

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.