The Role
Provides advanced, customer-facing technical support for cloud and data platform environments. Resolves complex issues across AWS, Azure, and GCP, with expertise in Kubernetes, Docker, Linux, data lakes, data quality, cost optimization, and data reliability. Manages enterprise support cases, collaborates across teams, improves support processes, and delivers proactive solutions in a rotational 24/7 support environment.
Summary Generated by Built In
As a Staff Product Support Engineer / Product Specialist (Cloud Support SME) at Acceldata, You will take on a pivotal role with higher accountability in swiftly resolving complex customer challenges in two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. You will focus on delivering faster resolutions and ensuring seamless operations resolution, enabling customers to monitor, predict, and optimize their data systems for impactful business outcomes.
If you’re passionate about working in fast-paced, dynamic environments and want to be part of the cutting edge of data solutions, this role is for you.
What makes you the right fit for this position?
- Experience: 10+ years of related experience in customer-facing support, post-sales, technical architecture, or consulting roles, with a focus on Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one and Data Lakes.
- Cloud & Data Management: Proficient in cloud platforms such as AWS, GCP, and Azure, as well as Kubernetes, Docker, Additionally, expertise in Linux distributions such as RHEL, Ubuntu, and SUSE, ensuring comprehensive Cloud & Data Management capabilities.
- Collaboration: Willingness to work with customers to understand their use cases, identify pain points, and deliver tailored solutions within the agreed service levels.
- Soft Skills: Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts clearly.
- Technical Aptitude: You’ll interact directly with our customers to provide operations expertise by leveraging deep knowledge and best practices in Data Quality, Cost Optimization, and Data Reliability in relation to our broader Acceldata Platform.
- Empathy & Calm Under Pressure: Ability to handle situations calmly, bring a structured approach to problem-solving, and demonstrate tenacity, combined with a deep technical understanding and empathy for the customer’s situation.
What is it like to work at Acceldata ADOC team as Staff Product Support Engineer?
- As a trusted partner, you’ll manage support cases, troubleshoot intricate technical issues, and provide proactive solutions that empower organizations to maximize their data infrastructure. Your contributions will have a lasting impact on our customers' success and Acceldata's evolution of data observability.
- You’ll work with some of the most innovative minds in data observability, collaborating across internal teams to solve complex technical problems and continually improve our support processes. This role provides invaluable experience in managing distributed, scalable environments and real-world customer issues. You’ll be given the freedom and responsibility to ensure seamless support operations for Gold and Enterprise customers, gaining deep insights into various industries and use cases.
- You will work on a complex cloud-native platform in keeping stable, fast, and reliable for enterprise customers.
- This role requires flexibility to work in rotational shifts, based on team coverage needs and customer demand.
Candidates should be comfortable supporting operations in a 24/7 environment and be willing to adjust their working hours accordingly.
Skills Required
- 10+ years of related experience in customer-facing support, post-sales technical support, technical architecture, or consulting
- Experience supporting AWS, Azure, or GCP cloud ecosystems, with expertise in at least one
- Experience with data lakes and cloud data management
- Proficiency with Kubernetes and Docker
- Experience with Linux distributions including RHEL, Ubuntu, or SUSE
- Ability to work directly with customers to understand use cases, identify pain points, and deliver solutions within service levels
- Excellent written and verbal communication skills
- Knowledge of data quality, cost optimization, and data reliability
- Ability to troubleshoot complex technical issues and manage support cases
- Willingness to work rotational shifts in a 24/7 support environment
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The Company
What We Do
Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Acceldata's solutions have been embraced by global customers, such as Dun & Bradstreet, Verisk, Oracle, PubMatic, PhonePe (Walmart), and many more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures. Contact us to learn about the benefits of data observability.
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