Top Remote Data Architect Jobs

Design, support, and improve data analytics solutions (OAC and Power BI). Manage data ingestion, ETL, data quality, access, and documentation. Liaise with stakeholders, migrate dashboards from OAC to Power BI, and follow SDLC and project management practices.

Design and maintain logical and physical data models for the EMR, define system integration and migration specifications, collaborate with clinical and IT stakeholders, ensure interoperable interfaces, drive metadata documentation, mentor on testing and release processes, and support architecture reviews and implementations with minimal supervision.

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.

Lead the design and implementation of secure, scalable data processing platforms, focusing on ETL frameworks, event-driven systems, and high-performance microservices.

Lead architecture and implementation of cloud EDW and Medallion-based Data Lakehouse. Design dimensional models (star/snowflake), build scalable ETL/ELT pipelines (Glue, Spark, Databricks, Airflow), implement Iceberg/Delta OLAP solutions, map EDI X12 to FHIR/HL7, ensure HIPAA/CMS compliance, and mentor data engineering teams while aligning architecture with business goals.

Lead development and commercialization of Cloud Data and AI solutions: design modern data architectures, support technical sales and strategic pursuits, enable the practice with tooling and training, oversee delivery risk and partner co-investment, and drive P&L/accountability for the offering.

Architect and deliver high-performance storage and data platform solutions for AI/ML workloads. Lead design and sizing of parallel file systems, object storage, GPU-Direct and NVMe-oF fabrics, data lakehouse architectures, and data pipelines. Engage customers and partners, produce HLDs/LLDs/BOMs, enable field teams, and drive partner alignment and business development.

Customer-facing solutions architect role designing AI data infrastructure and storage platforms. Advise on AI data readiness, NVIDIA AI Data Platform integration, data pipeline and lakehouse architectures, deliver workshops, reference architectures, pre-sales proposals, and partner-aligned solutions for enterprise AI workloads. Travel required for customer and partner engagements.

Lead Cloud Solution Architect defines and matures WWT's AI & Data delivery frameworks, supports pre-sales as a technical SME, and provides architectural oversight on strategic AWS-based AI and data engagements to ensure repeatable, high-quality delivery and measurable client outcomes.