Databricks Support Engineer
Ascendion
Position – Databricks AI Data Engineer.Relevant Experience- 5 to 10years.Strong hands‑on experience with.Databricks services on AWS and Azure cloud platform.Handle L2/L3 incidents and service requests related to Azure Databricks, Spark jobs, and...
Last checked on May 15, 2026. We may earn a commission when you click through.
Ideal for experienced engineers looking to deepen their expertise in cloud data engineering.
Databricks Support Engineer
Ascendion
Updated 13 days agoYou'll be redirected to in.talent.com
Ideal for experienced engineers looking to deepen their expertise in cloud data engineering.
About this role
This Databricks Support Engineer role is a promising opportunity for experienced data engineers, particularly those with cloud expertise.
About the Company
Ascendion is a technology-driven company specializing in data solutions.
Key Highlights
- ✓ 5 to 10 years of relevant experience required
- ✓ Strong hands-on experience with Databricks on AWS and Azure
- ✓ Handles L2/L3 incidents related to data pipelines
- ✓ Expertise in Databricks, Apache Spark, and PySpark
💡 Honest Take: This role demands solid technical skills but offers a chance to work on exciting cloud projects.
Pros
- ✓ Strong demand for Databricks skills in the market
- ✓ Opportunity to work with major cloud platforms
- ✓ Chance to solve complex data issues
Cons
- ✗ Non-remote position limits flexibility
- ✗ High experience requirement may deter junior candidates
- ✗ Pressure of handling L2/L3 incidents can be intense
Best For: Engineers with a passion for data and cloud technologies will find this role fulfilling.
Watch Out: Be prepared for a fast-paced work setting with high expectations on incident resolution.
You'll be redirected to in.talent.com
What Customers Say
Workers appreciate the technical challenges but note the pressure of incident management.
Expert Review
At Ascendion, the Databricks Support Engineer position is a critical one. Candidates should have 5 to 10 years of experience in handling complex data solutions, specifically with Databricks on AWS and Azure. The job focuses on resolving L2/L3 incidents, which can be demanding but rewarding for those who enjoy problem-solving.
The role offers a chance to work on cutting-edge technologies, especially in data pipelines and Apache Spark. However, the non-remote nature of this job means sacrificing some work-life balance. If you’re looking for flexibility, this might not be the best fit.
According to Ascendion's listing, candidates need to be comfortable with high-pressure situations since the role involves managing service requests that can significantly impact business operations. This position is not for the faint-hearted, but it’s perfect for those looking to elevate their career in a tech-driven environment.
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