21 hours ago
Remote, Saudi ArabiaStaff+
Responsibilities
- Lead customer and partner technical discovery and design end-to-end architectures based on business, application, data, and infrastructure requirements.
- Design data platform solutions covering ingestion, CDC, batch and streaming pipelines, processing, lakehouse storage, catalogs, query engines, orchestration, data quality, governance, and AI integration.
- Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance pipelines, and application data services.
- Provide expertise in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespaces.
- Own customer PoCs from scope definition through solution deployment, integration, testing, troubleshooting, documentation, technical review, and production planning.
- Guide Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments.
- Integrate data sources, streaming and processing tools, analytics engines, AI platforms, identity systems, observability tools, and infrastructure components.
- Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement.
- Lead or support technical RFP and RFI responses addressing architecture, integrations, security, scalability, performance, and operations.
- Capture customer and PoC feedback and collaborate with Product, Engineering, Customer Engineering, Sales, partners, and customers to improve adoption and resolve gaps.
Requirements
- 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant.
- Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms across several data engineering, lakehouse, analytics, governance, and AI capabilities.
- Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving issues, and presenting results.
- Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design.
- Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure.
- Practical experience with relevant data stack technologies such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs; experience with every listed technology is not required.
- Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments.
- Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms.
- Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly.
- Strong verbal, written, whiteboarding, and presentation skills for technical and executive audiences.
- Ability to collaborate across customers, partners, Sales, Product, Engineering, and Customer Engineering teams.
- Strong customer-success orientation, intellectual curiosity, ownership, prioritization, and willingness to travel as needed.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered.
Tech Stack
Categories
Solutions Engineering
About MinIO
MinIO builds high-performance, S3-compatible object storage and related data systems for enterprises running data lakes, analytics, and AI across on‑prem, edge, and cloud environments. It monetizes through enterprise subscriptions and support on top of its open-source software, and offers products such as AIStor and MemKV for AI and memory-centric workloads. Founded in 2014 and headquartered in Redwood City, California, it is privately held.