Big Data Architect

Databricks Inc.; Deutschland; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology firm is looking for a skilled data engineer to work on impactful projects from their Germany office or remotely. The role entails guiding customers through big data implementations, addressing technical challenges, and collaborating with various teams. Applicants should be proficient in data engineering and comfortable with Python or Scala. Interested candidates should have experience in cloud ecosystems and knowledge of Apache Spark. Travel may be required up to 10%.

Qualifikationen

• Proficient in data engineering and analytics.
• Strong track record of successful projects.
• Comfortable writing code in Python or Scala.
• Familiar with Enterprise Data Warehousing solutions.
• Knowledge of cloud ecosystems like AWS, Azure, GCP.

Aufgaben

• Work on impactful customer technical projects.
• Consult on architecture and design for customer projects.
• Guide strategic customers in big data projects.
• Provide support for customer operational issues.
• Collaborate with other teams for technical delivery.

Kenntnisse

Data engineering

Python

Scala

Enterprise Data Warehousing

Cloud ecosystems

Apache Spark

CI/CD

MLOps

Technical project delivery

Client management

Tools

Teradata

Azure

AWS

GCP

Databricks Certification

Jobbeschreibung

Overview

We have 5 open positions based in our Germany office. This role can be remote or be based out of our Munich or Berlin offices.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer''s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices
• Comfortable writing code in either Python or Scala
• Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP)
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel is required up to 10%, more at peak times.
• Databricks Certification

About Databricks

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