Big Data Architect

Menlo Ventures; München; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A leading data and AI company in München is seeking a Big Data Solutions Architect to engage with clients on data challenges. The ideal candidate will have strong skills in data engineering, proficient coding in Python or Scala, and experience with Apache Spark and cloud technologies. This role requires client interaction and project delivery expertise, offering a dynamic environment to utilize your skills effectively. Travel may be required up to 10%.

Leistungen

Comprehensive benefits package

Diversity and inclusion commitment

Qualifikationen

• Proficient in data engineering, data platforms, and analytics.
• Comfortable writing code in either Python or Scala.
• Deep experience with distributed computing with Apache Spark™.

Aufgaben

• Work on impactful customer technical projects.
• Guide customers on big data implementations.
• Consult on architecture and design for customer projects.

Kenntnisse

Data engineering

Cloud ecosystems (AWS, Azure, GCP)

Apache Spark

Python

Scala

MLOps

Enterprise data warehousing

Documentation skills

Client management

Tools

Databricks

CI/CD

Jobbeschreibung

We have 2 open positions based in our Germany offices.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects that require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. Resident Solutions Architects are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

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-tos 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 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 customers’ needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and 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

Databricks is the data and AI company. More than 10,000 organizations worldwide – including Comcast, Condé Nast, Grammarly and over 50% of the Fortune 500 – rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

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.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.