(FEQ325R83)

As a Senior Specialist Solutions Engineer (Data engineering), you will guide customers in building big data solutions on Databricks for a wide variety of use cases.

You will be in a customer-facing role, working with and supporting Solution Architects. This role requires hands-on production experience with Apache Spark™ and expertise in other data technologies.

Our Specialist team helps customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform.

As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, peer delivering and internal training programs and establish yourself in an area of speciality - whether that be streaming, performance tuning, industry expertise, or more.

Notes on mandatory requirements: 

• Fluent in Spanish and English (Business-level proficiency minimum)

• Flexible to travel for customer meetings and internal events/training (up to 20-30%). Based in Madrid or within commutable distance for a hybrid schedule.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering complex pipelines

• Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization

• Assist our customers with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures

• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)

• Contribute to the Databricks Community

• Integrate Databricks with 3rd-party applications to support customer architectures

• Together with account teams, you will form successful relationships with customers to deliver technical and business value.

What we look for:

• Experience in a technical role with expertise in at least one of the following:

  • Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions

  • Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer lifetime value

• Production programming experience in SQL and Apache Spark (Python, Scala).

• Understanding of customer-facing pre-sales or consulting role with a core strength in data engineering

• Passionate in sharing advanced technical concepts, including presentations to a variety of audiences or white-boarding sessions 

• Strong willingness to help and support others in solving their technical challenges

• Skills in designing and implementing complex data processing systems (batch and streaming) within a public cloud (AWS, Azure or GCP)

• A minimum of a Bachelor's degree in Computer science, Information systems, Engineering, Data Science or equivalent work experience

• Desirable: Databricks Certification

• Desirable: Experience with migrating legacy systems

Benefits

• Private medical insurance

• Life, accident & disability insurance

• Equity awards

• Enhanced Parental Leaves

• Fitness reimbursement

• Annual career development fund

• Work headphones reimbursement

• Business travel accident insurance

• Mental wellness resources

• Employee referral bonus

#LI-Hybrid

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.

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.