Top Remote Data Architect Jobs

Designs and governs enterprise data architecture across Oracle ERP, SCM, CX, and related applications. Leads data modeling, large-scale migration and conversion, integration architecture, data governance, quality management, and validation initiatives. Partners with business and technical stakeholders to define scalable solutions, leads architecture workstreams, mentors project teams, and supports Oracle Cloud implementations and digital transformation programs.

Lead and own end-to-end delivery of enterprise Data & AI programs, define data strategy and architecture (lakehouse/warehouse), drive modernization, governance, data quality, metadata/lineage, and AI adoption. Manage client relationships, account growth, program budgets, delivery teams, and stakeholder communications to ensure on-time, on-budget outcomes.

Provides technical leadership and pre-sales architecture for Splunk, Cisco, security operations, observability, AI, and data solutions. Leads customer discovery, SIEM and SOC modernization, Splunk deployments, data onboarding, detection engineering, SOAR, observability, cloud and regulated-environment architectures, migrations, proposals, demonstrations, and technical enablement. Supports government and enterprise customers, including classified and air-gapped environments.

Leads end-to-end data and analytics architecture engagements, specializing in Microsoft Fabric platform design, implementation, modernization, migration, governance, integration, semantic models, reporting, performance, and cost optimization. Partners with clients and internal teams to translate business needs into scalable solutions, guides technical delivery, supports pre-sales pursuits, and mentors data professionals. The role is remote but requires travel four to six times annually and residence in an approved state.

Designs and implements scalable data architectures, ingestion and transformation pipelines, API integrations, cloud data solutions, and data governance practices. The role supports analytics, business intelligence, dashboards, and AI models while optimizing infrastructure performance and cost. Responsibilities include data modeling, security, quality, lineage, compliance, documentation, and collaboration with cross-functional stakeholders. Requires expertise in Microsoft Fabric, AWS and Azure data services, SQL, Python, Tableau, and modern ETL/ELT practices.

Lead client-facing architecture for Microsoft Data & AI solutions, translating business priorities into secure, governed, scalable architectures and modernization roadmaps. Design lakehouse, batch and streaming platforms using Fabric, Databricks, Azure, Power BI, and related governance tools. Architect AI-ready data platforms supporting generative AI, agentic AI, RAG, vector search, and enterprise data agents. Support presales, proposals, estimation, executive presentations, implementation guidance, and mentorship of architects and engineering teams.

Leads corporate data architecture, standards, and data modeling for database and business intelligence projects. Designs logical and physical data models, source-to-target mappings, data warehouses, and integration architectures. Manages master and reference data initiatives, metadata repositories, data dictionaries, governance policies, data quality rules, and golden records. Provides technical leadership, mentoring, documentation, project guidance, and support throughout the systems development lifecycle.

Leads cloud, infrastructure, data, security, and AI architecture across AWS, Azure, Kubernetes, and infrastructure-as-code environments. Defines reference architectures, landing zones, data platforms, GenAI production patterns, security controls, cost models, and operational standards. Shapes client engagements, technical scope, and roadmaps; guides delivery through design reviews and mentoring. Requires hands-on production architecture experience, strong security and governance expertise, and the ability to operate effectively amid ambiguity.

Defines enterprise data architecture strategy while building scalable ELT/ETL pipelines, governed data products, analytics-ready models, and cloud data platforms. Leads BigQuery optimization, orchestration, data quality, observability, CI/CD, infrastructure-as-code, modernization, governance, privacy, security, and integration standards. Partners with executives and cross-functional teams to establish architecture direction, data contracts, domain models, and multi-year roadmaps while mentoring senior technical staff.

Design scalable human-data collection systems for AI model post-training, including task frameworks, data workflows, quality assurance, evaluation datasets, and delivery pipelines. Partner with engineering and product teams to improve throughput and reliability while preserving data quality. Translate collection and quality patterns into insights that improve project design, client deliverables, and product development.

As a Solution Architect, you will define and lead data platform deliveries, manage implementation teams, translate requirements into designs, and mentor team members.

Designs and leads modern cloud, hybrid, and on-premises data architectures using Snowflake, Databricks, and Microsoft Fabric. The role includes data modeling, governance, security, orchestration, CI/CD, platform optimization, architecture workshops, client consulting, delivery oversight, and technical mentoring. The architect will guide teams, create reusable standards, evaluate technology trade-offs, support proposals and roadmaps, and ensure secure, scalable, maintainable solutions aligned with business outcomes.

Deliver customer-facing technical training in data engineering and AI through virtual and onsite sessions. Create tailored courses, projects, certifications, and assessments aligned with customer roles, tools, and business outcomes. Partner with Customer Success, Sales, Product, and Content teams to design blended learning paths, drive platform adoption, and improve measurable skills. Support diverse technical and non-technical audiences across time zones, with occasional onsite travel and success metrics tied to customer satisfaction, bookings, and professional services revenue.

Lead pre-sales technical engagements to design and optimize scalable cloud lakehouse data platforms (Snowflake/Databricks). Provide architecture reviews, ETL/ELT pipeline design, governance and AI-ready data foundations, support services sales, and translate technical tradeoffs into actionable recommendations for engineering and executive stakeholders.

Lead data architecture for NAVSUP OIS, including database design, data modeling, warehouse strategy, ETL/ELT pipelines, migration, security, retention, backup, recovery, and performance optimization. Coordinate cloud and containerized environments, guide data engineers and DBAs, and support modernization from Oracle to cloud and analytical platforms. The role also provides technical leadership, architecture planning, integration, risk assessment, and policy development for mission-critical systems.

Designs and governs enterprise data architecture supporting VHA EHR modernization, reporting, analytics, clinical systems, and data integration. Responsibilities include data modeling, governance, metadata and lineage management, APIs, ETL, interoperability, data quality, cloud infrastructure, performance optimization, and stakeholder collaboration. The role also leads architectural enhancements through Agile processes and evaluates emerging data technologies.

Leads enterprise data architecture strategy, modernization, and multi-year platform roadmaps. Defines standards for data models, ingestion, transformation, orchestration, quality, governance, observability, and consumption across batch and streaming environments. Provides technical leadership to data engineering and analytics teams, oversees scalable data solutions, mentors technical leaders, and partners with business, engineering, security, and data science stakeholders. Evaluates technologies, guides vendor selection, enables data products, and explores GenAI applications.

Leads technical delivery of Master Data Management solutions using Informatica MDM and PowerCenter. Designs and implements ETL mappings, workflows, transformations, data quality processes, governance practices, SQL data marts, and Python automation. Oversees MDM specialists, monitors production jobs, troubleshoots operational issues, supports testing and validation, tunes performance, documents technical solutions, and collaborates with state agencies, QA, business teams, and project leadership.

Designs and delivers Databricks-based data engineering, analytics, AI, and ML solutions for financial services clients. Combines hands-on architecture and implementation with presales support, customer presentations, project oversight, data analysis, quality assurance, documentation, and team mentoring. Requires expertise in modern data platforms, cloud environments, programming, SQL, data integration, governance, security, and scalable production delivery.

Leads enterprise API and data architecture for a secure federal and DoD-aligned environment. Designs REST and GraphQL interfaces, microservices boundaries, data contracts, integration patterns, governance standards, and Zero Trust security controls. Partners with engineering, cybersecurity, cloud, product, and mission teams on scalable API ecosystems, observability, performance, modernization, and technical governance. Requires an active Secret clearance, bachelor’s degree, 10+ years of relevant experience, and CompTIA Security+ certification.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.

Lead enterprise data security architecture to protect sensitive data across its lifecycle. Define strategies for encryption, key management, tokenization, masking, DLP, classification, database security, and Zero Trust. Advise execs and engineering on secure design patterns for data platforms (e.g., Starburst), cloud/on-prem systems, APIs, data pipelines, and AI/ML workloads. Develop roadmaps, evaluate technologies, mentor staff, and drive secure-by-design adoption across the organization.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Design and implement scalable, secure enterprise data solutions on Databricks and Azure using Delta Lake and Medallion Architecture. Lead and mentor data engineering teams; define integration patterns, governance, security (Unity Catalog, RBAC, masking, row/column-level security), and CI/CD/IaC practices. Ensure data quality, lineage, monitoring, and optimize Spark/Delta workloads for performance and cost while aligning solutions with business needs.

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.