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Solutions Architect

2 months ago

delhi, India Edison Smart® Full time
We require a Senior Solutions Engineer or Solutions Architect to join our CDN orientated global client who has received significant investment to drive the business forward.
You will bring your technical expertise to a diverse customer environment, supporting pre-sales, professional services and customer success engagements. Your day-day will be working with customers and prospects to help them leverage the data platform across a variety of cloud environments. You’ll partner with customers and partners, become a trusted advisor to our users, help them realize their data aspirations, and improve their time-to-value.
Must have experiences in order to be successful in this role:
Strong Client facing Technical Pre-sales and Solutions architecture, both pre and post sales.
Lead and deliver customer projects, ensuring successful deployments, integrations, and configurations to meet customer expectations.
Collaborate with customers to understand their business objectives, data management challenges, and specific requirements.
Provide technical guidance, support and best practices to customers to achieve their data management and analytics goals.
Provide expert guidance to clients, covering dashboarding, API interfaces, data ingestion and transformation, using the company and other 3rd party tools, ensuring data accuracy, usability, and performance optimization.
Must have technical experiences in order to be successful in this role:
At least 5+ years’ experience in cloud computing
Excellent experience with CDN Solutions e.g. Akamai, AWS CloudFront, Google Cloud CDN
Excellent familiarity with Linux, Kubernetes and Cloud Platforms (AWS, GCP, Azure)
Proficiency in query language (e.g. SQL, Elastic) with the ability to write complex queries, optimize performance, and work with large datasets
Solid understanding of data management concepts, including data ingestion, transformation, and storage in distributed systems
Hands-on experience with Grafana (or other visualization tools e.g. Kibana, Redash, Superset), including dashboard design, templating, and working with various data sources
Understanding of Data Pipelines (e.g. ETL, LogStash, FluentD, Data enrichment).