Senior Specialist Solutions Engineer

Databricks

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Denmark; Finland; Stockholm, Sweden First seen 3 weeks ago Last seen 3 hours, 57 minutes ago Greenhouse

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Job Description

AI Summary

• Guide customers in building big data solutions on Databricks across diverse use cases, working in a customer-facing role that bridges Solution Architects and technical implementation teams • Architect and optimize production-level data pipelines, design data solutions, and provide technical expertise in areas like data lakes, streaming, and data governance • Required experience: Apache Spark, data ingestion/streaming (Spark Streaming, Kafka), CI/CD tools, cloud platforms (AWS/Azure/GCP), dbt, SQL, and customer-facing technical roles • Mentor and develop expertise through internal training programs while supporting competitive evaluations, proof-of-concepts, and production migration planning • Based in Stockholm, Sweden, Denmark, or Finland with reporting to the Specialist Field Engineering Manager and opportunities to contribute to the Databricks community

Locations: Stockholm Sweden, Denmark or Finland

As a Specialist Solutions Engineer (SSE) - Data Platform Engineering, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark, pipeline orchestration and DevOps expertise. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for 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, and internal training programs and establish yourself in the data engineering speciality - including pipeline design, data modelling, winning competitive evaluations, architecture design and enterprise data governance, integration with other catalogues and production migration planning.

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 to model deployment
Architect production level data pipelines, including end-to-end pipeline load performance testing and optimization
Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
Contribute to the Databricks Community

What we look for in Data Engineering & DevOps Skills:

Experience in a customer-facing technical role with expertise in the below:

Software Engineer/Data Engineer: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions
Data Applications Engineer: Build use cases that use data - such as risk modeling, fraud detection, customer life-time value

Building data pipelines using big data technologies such as Spark/Delta or Hadoop
Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces (e.g. Jenkins)
Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
Hands-on experience developing, testing, and deploying data models using dbt or equivalent technologies.
Pre-sales or post-sales experience working with external clients across a variety of industry markets, or looking to learn and develop in a customer-facing technical role as a Subject Matter Expert (SME).
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
Production programming experience in SQL and Python, Scala, or Java.
Ability to travel up to 30% when needed

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.

Skills

go sql aws java python

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Job Information

Company:
Databricks
Location:
Denmark; Finland; Stockholm, Sweden
Job Type:
Internship
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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