Staff Product Support Engineer / Product Specialist

What is it like to work at Acceldata as Staff Product Support Engineer?

• As a Product Specialist / Staff Product Support Engineer at Acceldata, you will be at the forefront of solving complex customer challenges by supporting a wide range of integrations across Data Catalogs, Databases, Data Lakes/Lakehouses, Orchestration, SQL Query & Analytics Engines, Security, Streaming, Data Warehouses, and Business Intelligence platforms. Your role is essential in ensuring that customers experience seamless data operations, enabling them to monitor, predict, and optimize their data systems, ultimately driving impactful business outcomes.
• You’ll be working 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.
• As a trusted partner to our gold and enterprise customers, you’ll be the key person in managing support cases and incidents, troubleshooting and resolving intricate technical issues and playing a critical role in helping customers navigate their data challenges. Additionally, you’ll provide proactive insights and solutions, empowering organizations to harness the full potential of their data infrastructure. Your contributions will have a lasting impact on our customers and the future of data observability.

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 Native and Data Lakes. Bachelor’s degree required.
• Cloud & Data Management: Proficient in cloud platforms such as AWS, GCP, and Azure, as well as Kubernetes, Docker, and various Hadoop components including HDFS, Yarn, Spark, Hive, HBase, Ranger, and Kafka. 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 & best practices in the use of Data Quality, Cost Optimization, and Data Reliability with respect 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.