Senior SAP Product Specialist

Databricks Inc.; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading data and AI company in Berlin seeks a Senior SAP Product Specialist to lead SAP practices and strategies. You will drive adoption across EMEA, provide technical guidance in competitive scenarios, and support cloud-based Data and AI solutions. The ideal candidate has expertise in SAP architecture, strong communication skills, and the ability to handle complex technical challenges. This role offers a collaborative work culture and opportunities for professional growth.

Leistungen

Comprehensive benefits

Diverse and inclusive work culture

Qualifikationen

• 5+ years experience in designing and delivering cloud-based Data and AI Solutions.
• Ability to guide in SAP Databricks architecture and mitigate blockers.
• Experience in creating multi-cloud analytics ecosystems.

Aufgaben

• Deliver thought leadership in best practices for SAP Databricks.
• Drive adoption of SAP Databricks across EMEA.
• Provide guidance for large-scale enterprise SAP Databricks scenarios.

Kenntnisse

Experience in designing cloud-based Data and AI Solutions

Advising customers in SAP Databricks architecture

Cross-Cloud Expertise

Certification in SAP ecosystem and cloud providers (Azure, AWS, GCP)

Hands-on experience with Apache Spark, Python, and SQL

Excellent communication skills

Pre-sales experience

Jobbeschreibung

Senior SAP Product Specialist – Berlin, Germany

Ref: FEQ426R753

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.

Responsibilities

• Deliver thought leadership in SAP Databricks best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how-to guides and technical know-how to the EMEA technical community and beyond.
• Work with sales and FE leaders to drive adoption of SAP Databricks across EMEA.
• Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies.
• Provide guidance and oversight for large-scale enterprise SAP Databricks competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives.
• Act as the level three point of escalation on the toughest technical challenges in the field that customers face to drive customer success.
• Build and manage an SME group in EMEA field-engineering around SAP.
• Provide key messaging and approaches to ensure the EMEA technical field is prepared for competitive conversations.

Qualifications

• Experience in designing and delivering cloud-based Data and AI Solutions in a client or customer environment.
• Ability to advise customers in SAP Databricks architecture: prepare stakeholders for internal conversations and communicate directly, anticipating blockers and addressing them before they become an issue.
• Cross-Cloud Expertise: help customers build a multi-cloud analytics ecosystem with Databricks at the centre and provide solutions for customers looking for disaster recovery, fault tolerance and backup.
• Certification and/or demonstrated competence in the SAP ecosystem along with one of Azure, AWS or GCP cloud providers.
• Demonstrated competence in the Lakehouse architecture including hands‑on experience with Apache Spark, Python and SQL.
• Excellent communication skills; both written and verbal.
• Experience in pre-sales selling highly desired.

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 and 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.

Equal Employment Opportunity

We welcome applications from all backgrounds and are an equal opportunity employer.