Top Remote Data Architect Jobs

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.

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.

Serve as a trusted advisor for complex consulting engagements in Data Management. Lead solution scoping, architecture, feasibility assessment, design assurance, and implementation alignment with SimCorp standards. Own global consulting practice artifacts, improve methodologies, document best practices, enable consultants, and mentor aspiring architects. Collaborate with Sales, Product Management, Value Streams, project teams, and senior clients to resolve domain challenges and influence strategic architecture decisions.

Lead technical advisor for enterprise data governance engagements. Design governance strategy, metadata management, business glossaries, taxonomy, data lineage, stewardship models, and Microsoft Purview implementations. Run workshops, maturity assessments, and executive advisory sessions. Create governance monitoring, operational reporting, and AI-readiness assessments for platforms like Microsoft Fabric, Power BI, and Azure.

Senior technical leader defining Subaru of America's enterprise data architecture strategy across platforms, integration, governance, analytics, and security. Shapes 3-5 year data strategy, drives architecture standards, enables AI/agentic workflows, leads cross-functional solutions, mentors teams, and represents SOA externally to advance data capabilities and compliance.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

Lead full lifecycle implementations of Salesforce Data Cloud: design data models, integrations, segmentation, and activation. Act as primary technical expert for offshore teams, troubleshoot, build POCs, and enable personalized marketing using Salesforce platforms and data engineering best practices. Provide mentorship and stay current with Salesforce releases and AI/cloud trends.

Lead full Salesforce Data Cloud implementations: design data models, integrations, ETL, and segmentation; guide offshore teams; enable personalization with MCP/Einstein; run POCs and share knowledge while staying current on AI/cloud trends.

As an Enterprise Architect, you will manage architectural expertise, guide teams, analyze market trends, and develop architecture standards.

Design, validate, and deliver enterprise modern data management platforms (lakehouse, open table formats, object storage) with governance, compliance, streaming pipelines, metadata/catalog integration, federated query, and AI-ready data foundations. Build reference architectures, run POCs/labs, produce customer-facing guidance, and partner across product, engineering, and field teams to enable production-grade, compliant data solutions.

Lead cross-discipline delivery and practice maturation across data engineering, visualization, governance, and AI. Orchestrate unified delivery approaches, set delivery standards and accelerators, coach architects, apply AI to improve delivery, and drive adoption of practice capabilities while managing stakeholder relationships and delivery risk on large consulting engagements.

Lead and build KLDiscovery's gen-AI architecture and core systems. Design and implement LLMs, agents, RAG, vector search, embeddings, model selection, MLOps, telemetry, and evaluation harnesses. Ship high-impact prototypes and production components, mentor senior engineers, and represent AI strategy to product, customers, and partners.

Senior AWS-focused cloud solution architect who defines and scales AI & Data delivery: builds reference architectures, presales S OWs/LOEs, provides technical SME support, and performs delivery oversight and architecture reviews to ensure repeatable, governed enterprise AI and data platform outcomes.

Lead architecture for a next-generation data layer for Agentic AI: design schemas and knowledge-graph ontologies, architect hybrid Snowflake/Kinetica/NoSQL environments, define ETL/ELT and CDC/streaming patterns, ensure cluster availability and performance, and act as the technical customer-facing lead aligning roadmaps and observability for real-time AI agents.