Data Dynamics
11 hours ago
As a Storage Solutions Architect at Data Dynamics, you will play a pivotal role in shaping our customers' data management strategies.
You will be responsible for understanding their unique business needs, recommending optimal storage solutions, and ensuring seamless implementation.
This position requires a blend of technical expertise, strong communication skills, and a customer-centric approach.
Key Responsibilities :
Pre-Sales Technical Consultation :
- Conduct in-depth technical assessments to identify customer requirements.
- Develop compelling technical presentations and demonstrations.
- Provide expert guidance on storage solutions, including file/NAS, object storage, and database technologies.
- Collaborate with sales teams to drive successful deals.
Solution Design and Architecture :
- Design scalable and resilient storage architectures aligned with customer needs.
- Evaluate and recommend appropriate hardware and software components.
- Develop detailed technical documentation and implementation plans.
Proof of Concept (POC) Execution :
- Plan and execute POCs to validate solution feasibility and performance.
- Analyze POC results and provide recommendations for optimization.
Customer Support and Implementation :
- Provide technical support during the implementation phase.
- Troubleshoot and resolve complex technical issues.
- Conduct knowledge transfer sessions with customer IT teams.
Post-Sales Support :
- Monitor system performance and identify potential issues.
- Provide ongoing technical support and guidance.
- Assist with capacity planning and performance tuning.
Product and Technology Evangelism :
- Stay up-to-date with industry trends and emerging technologies.
- Share knowledge and best practices with the team.
- Contribute to product development and improvement initiatives.
Required Skills and Qualifications :
- Strong proficiency in Windows and Linux operating systems.
- Deep understanding of file/NAS and object storage technologies.
- Expertise in SQL and NoSQL databases.
- Knowledge of data discovery, data science, and data governance concepts.
- Experience with microservices architecture, Docker, and Kubernetes.
- Familiarity with ITIL and project management methodologies.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and as part of a team.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in a pre-sales or technical consulting role.
- Certification in relevant technologies (e.g, AWS, Azure, GCP) is a plus
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