Senior Databricks Consulting Engineer
New
Applicants must currently reside in GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Excellent communication and presentation skills in English & German.
- Experience
- 7+ years of experience in data engineering, cloud architecture, analytics, or related fields; 3+ years working with Databricks in enterprise environments.
- Required Skills
- PythonSQLData engineeringSparkDatabricks
Requirements
- 7+ years of experience in data engineering, cloud architecture, analytics, or related fields.
- 3+ years working with Databricks in enterprise environments.
- Strong expertise in modern data platform architecture and cloud-native solutions.
- Hands-on experience designing and implementing Lakehouse architectures.
- Proficiency in Python, SQL, and Spark.
- Knowledge of Databricks Data Intelligence Platform, Apache Spark, Delta Lake, and Unity Catalog.
- Experience with at least one major cloud platform (Azure preferred, AWS, GCP).
- Experience engaging with executive stakeholders and technical leadership teams.
- Excellent communication and presentation skills in English & German.
- Ability to travel as required for customer engagements.
Responsibilities
- Act as the primary technical advisor for strategic Databricks customers.
- Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform.
- Lead architecture workshops, solution design sessions, and technical roadmap discussions.
- Advise customers on platform modernization, cloud migration, data governance, and AI initiatives.
- Review data engineering, analytics, machine learning, and GenAI workloads for performance and scalability.
- Mentor customer teams and internal consultants on architecture patterns and best practices.
- Partner with sales teams for technical discovery, solution positioning, and proposal development.
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