
Enterprise • SaaS • Data
Acceldata is a leading enterprise data observability company that provides comprehensive solutions for ensuring data quality, reliability, and cost efficiency in multi-cloud and hybrid data environments. Acceldata's platform offers observability across various aspects of data operations, including data quality, pipeline, infrastructure, user, and cost observability. By integrating seamlessly with cloud platforms, data warehouses, and BI tools, Acceldata helps enterprises manage large-scale data operations, enhance data reliability, and optimize performance. With a focus on improving data infrastructure reliability and efficiency, Acceldata supports a wide range of industries, including financial services, manufacturing, consumer packaged goods, retail, and life sciences.
September 24

Enterprise • SaaS • Data
Acceldata is a leading enterprise data observability company that provides comprehensive solutions for ensuring data quality, reliability, and cost efficiency in multi-cloud and hybrid data environments. Acceldata's platform offers observability across various aspects of data operations, including data quality, pipeline, infrastructure, user, and cost observability. By integrating seamlessly with cloud platforms, data warehouses, and BI tools, Acceldata helps enterprises manage large-scale data operations, enhance data reliability, and optimize performance. With a focus on improving data infrastructure reliability and efficiency, Acceldata supports a wide range of industries, including financial services, manufacturing, consumer packaged goods, retail, and life sciences.
• Lead impactful customer technical projects: build reference architectures, how-to guides, demo applications, deliver production-grade MVPs. • Provide technical leadership and consultation in post-sales: guide customers through architecture, design, and implementation of Acceldata solutions. • Guide customers through transformational data projects including third-party migrations, installation, and deployment across environments. • Collaborate with internal technical teams, Project Managers, Architects, and customers to deliver technical components and resolve product and support issues. • Provide feedback to product management and engineering on product gaps and implementation improvements. • Travel to customer sites and work closely with client technology teams to deliver business impact. • Troubleshoot complex deployments, optimize performance, and resolve product issues to drive customer success. • Design and deliver production-grade MVPs, reference architectures, and demo applications for customers.
• 10+ years of related experience in customer-facing pre-sales, post-sales, technical architecture, or consulting roles, with a focus on Cloud Native and Data Lakes. • Bachelor’s degree required. • Proven experience as a Solution Architect or similar role designing and implementing Kubernetes-based solutions, troubleshooting and optimizing performance, security, and deployments. • Expertise with cloud platforms (AWS, Azure, Google Cloud) and their Kubernetes offerings. • Proficient in Python or Java; experience in coding, documenting solutions, and white-boarding. • Strong background with big data technologies: Trino, Spark, Hive, Kafka, Airflow. • Experience with containerization technologies such as Docker and Kubernetes. • Relevant certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD)) are a plus. • Excellent communication and presentation skills. • Experience working directly with clients, including conflict resolution and managing expectations.
• Flexible PTO Plan • Up to 100% employer-paid benefits for health, dental, and vision coverage for specific plans • Discounts and offerings through major vendors through our PEO • Apple Air Mac Equipment • Becoming part of the team who’s coined the term “Data Observability”!
Apply NowSeptember 17
Solutions Architect advising large GPU cloud customers at Nebius. Designing, deploying, and scaling AI solutions for hundreds to thousands of GPUs.
Ansible
AWS
Azure
Cloud
Kubernetes
Python
PyTorch
Tensorflow
Terraform
September 17
Design and deliver cloud-based insurance solutions; engage clients, align product and delivery, ensure scalable AWS/GCP architectures.
AWS
Cloud
Google Cloud Platform
NoSQL
September 3
Design and deliver cloud-based insurance solutions at CoverGo. Advise clients, define architectures, and support implementations across AWS/GCP.
AWS
Cloud
Google Cloud Platform
NoSQL
August 26
201 - 500
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Lead cloud-native architecture and develop full-stack solutions. Implement event-driven, serverless, and BPMN workflows using AWS/GCP, JavaScript, Java, React/Angular.
Angular
AWS
Bootstrap
Cloud
Google Cloud Platform
Java
JavaScript
Jest
React
Redux
July 19
Solutions Engineer at DigitalGenius works on product enablement and customer success integration.
AWS
JavaScript
Magento
Node.js
Python