Sr. Designated Support Engineer, Apache Spark

Cacheflow; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Job summary

Cacheflow is looking for a Sr. Designated Support Engineer in Amsterdam to provide high-touch support for strategic accounts, leveraging your expertise in Apache Spark to resolve complex issues. You will manage support cases and advise customers on Data Engineering best practices.

With a minimum of 3 years of experience in Data Engineering and excellent project management skills, your role is crucial in enhancing the customer experience and driving self-sufficiency among users.

Qualifications

• Minimum 3 years of dedicated experience in Data Engineering.
• Experience in designing, developing, testing, and sustaining applications.
• Deep knowledge of Apache Spark internals and troubleshooting.

Responsibilities

• Manage large strategic accounts to provide high-touch support.
• Deep-dive into complex data engineering issues.
• Advise on best practices in Data Engineering.

Skills

Data Engineering

Apache Spark

Python

Java

Scala

Project Management

Problem Solving

Communication Skills

Job description

About the Role

Databricks is seeking an experienced Sr. Designated Support Engineer / Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self‑motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem‑solving skills. In this role the Sr. Designated Support Engineer / Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high‑touch, proactive support experience.

The Impact You Will Have

• Manage large strategic accounts to provide a high‑touch support experience.

• Deep‑dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks.

• Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg).

• Project manage all open support cases to expedite support ticket closure.

• Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution.

• Directly engage on business‑impacting situations and ensure recovery of functionality for the customer.

• Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues.

• Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems.

• Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities.

• Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders.

• Drive customer self‑sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools.

What We Look For

• Minimum 3 years of dedicated experience in Data Engineering, building, deploying, and maintaining large‑scale data pipelines.

• Minimum 3 years’ experience designing, developing, testing, and sustaining Python/Java/Scala‑based applications required.

• Deep, architectural knowledge of Apache Spark internals (including Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, and Tungsten execution engine).

• Proven track record of troubleshooting complex Spark and big data issues, such as data skew, out‑of‑memory (OOM) errors, serialization issues, and slow‑running broadcast joins.

• Highly effective with project managing multiple tasks and work streams, driving them to conclusion.

• Demonstrated analytical and problem‑solving skills, particularly those that apply to a "Distributed Big Data Computing" environment.

• Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non‑technical stakeholders.

• Preference for customer‑facing experience as a Support Engineer, Technical Account Manager, DSE, or in related production support areas.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.