Data Architect

• End-to-End Solution Architecture Own end-to-end solutioning across data, integration, and application layers - not just the data platform in isolation Design enterprise-grade architectures spanning: Event/data ingestion and streaming pipelines Data storage, modeling, and serving layers Application and presentation layers (web apps, dashboards, APIs) Make and document key architecture decisions (platform choice, build-vs-buy, service boundaries) and ensure traceability from business requirement to technical design
• Data Architecture (Primary Focus) Design data models and storage strategy for both real-time (streaming) and batch data Architect using Microsoft Fabric Real-Time Intelligence (Eventhouse/KQL), Lakehouse, and Fabric SQL DB, or equivalent modern data platforms Define data retention, partitioning, indexing, and data quality/lineage strategy Establish patterns for event ingestion, stream processing, and real-time serving
• Full Stack & Application Architecture Architect the application/API layer that consumes and exposes the data platform (e.g., React front-ends, .NET/API middleware) Define integration patterns between data platform, middleware, and UI layers Guide decisions on component reuse, responsive design, and multi-experience delivery (dashboards, custom apps, embedded analytics) Ensure the application layer meets operational requirements (write-back, workflow, role-based access) alongside analytical requirements
• Performance, Scalability & Governance Optimize ingestion throughput and query/API latency across the full stack Design for horizontal scalability, fault tolerance, and recovery Define governance standards: security (RBAC), data lineage, monitoring, and compliance
• Solution Leadership & Delivery Ownership Serve as the accountable technical owner for the overall solution across all delivery stages - discovery through hypercare Translate business use cases into a coherent, end-to-end technical design Conduct design reviews, enforce standards, and resolve cross-layer technical trade-offs (data vs. app vs. integration) Partner closely with the Technical Project Manager on scope, sequencing, and risk

• Proven experience architecting full stack solutions end-to-end (data + application layers), not solely a data or solely a front-end specialist Strong data architecture background: modern data platforms, streaming/event-driven design, data modeling Application architecture experience: APIs/middleware, modern web front-ends (React or equivalent) Data Engineering & Streaming Microsoft Fabric (Real-Time Intelligence, Lakehouse) or equivalent modern data platform (Databricks, Snowflake) KQL or equivalent query language - expert level Experience with Azure Event Hubs/Kafka and real-time ingestion pipelines Application & Integration React (or similar modern front-end framework) and API/middleware design (.NET, Node, or similar) Experience integrating data platforms with operational applications (dashboards, write-back workflows, role-based UIs) Cloud & Architecture Azure Data Platform expertise Microservices & distributed systems CI/CD for data and application platforms; Infrastructure as Code (Terraform preferred) Programming & Tools Strong SQL/KQL Python/Spark (good to have) Monitoring tools (Azure Monitor, Log Analytics)

Preferred Qualifications:

• Microsoft certifications: Azure Data Engineer / Fabric Analytics Engineer / Azure Solutions Architect Prior experience owning end-to-end solution architecture on a legacy-to-cloud modernization program Experience with AI-assisted development tooling (GitHub Copilot, Claude Code) for accelerated migration Knowledge of AI/ML integration with streaming data Experience Required 12+ years overall experience in data/analytics and application architecture 5+ years architecting full stack or end-to-end solutions (data platform + application layer combined)

Openkyber

• Atlanta, GA

• $165,000-190,000 per year About OpenKyber OpenKyber is commercializing the first new magnetic material in decades powered by its breakthrough material formulation and advanced manufacturing process. The com…

• 19 hours ago