
Data Platform Solutions Specialist
1 week ago
About the Role:
We are seeking a skilled Data Platform Support Engineer to provide expert assistance and support to our customers and partners in utilizing our Data Platform solutions.
The ideal candidate will have a strong customer service mindset, excellent analytical skills, and the ability to work independently with minimal supervision.
Key Responsibilities:
- Provide prompt, courteous, and in-depth service and support to customers via phone and email.
- Use Salesforce Service Cloud Reporting Portal to manage support cases, perform issue investigation of customer problems, answer customer questions, offer solutions to problems, and monitor community forum questions.
- Respond to front line and escalated support calls of a complex nature and work independently toward resolution of customer problems.
- Install, configure, test, and troubleshoot software or applications necessary to reproduce or analyze customer environments or problems.
- Research and investigate product defects using traces, logs, and other software tools.
- Assist in setting up problem recreation environments and standards to support the organization.
- Identify problem areas within Actian products and recommend solutions or defect areas to Software Engineers or management.
- Collaborate with Support Engineers, Senior Support Engineers, Principal Support Engineers, Team Leads, and Software Engineers to expedite resolution of customer issues.
- Troubleshoot data integration projects from Customers and internal departments (Sustaining Engineering, Pre-sales).
- Work with customers to verify fixes supplied have resolved their problems.
- Evaluate customer technical requirements and propose suitable solutions.
Requirements:
- Strong proven troubleshooting and customer service skills with 3-5 years of technical support experience as a Support Engineer, supporting mission-critical software.
- Excellent analytic, debugging, and proven troubleshooting skills.
- Ability to quickly grasp and self-learn new technologies.
- Experience with Cloud platform technologies; AWS, Azure, or Google ecosystems.
- Knowledge of Data Discovery and Data Catalog tools such as Zeenea, Collibra, Alation, or others, and understanding of Data Governance.
- Knowledge of Data Observability and Data Quality tools (e.g., Monte Carlo, Databand, Bigeye).
- Database Administration: experience and administration skills with relational technologies like Ingres, Vector, Oracle, DB2, MS SQL, PostgreSQL, and analytics technologies like Snowflake, Teradata, Vertica, Neteeza.
We Offer:
- A dynamic and collaborative work environment.
- Ongoing training and professional development opportunities.
- A competitive compensation package.
- A comprehensive benefits program.
Please Note:
- Candidates must be proficient in English (written and verbal) to communicate comfortably with customers globally.
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