Specialist Solutions Architect - Data Engineering
Databricks9 hours ago
Amsterdam, NetherlandsSenior
Responsibilities
- Lead end-to-end technical design, proofs of concept, workload sizing, and technical engagements for strategic customers.
- Design, build, and optimize scalable batch and streaming pipelines, operational data layers, and performance load-testing solutions on Databricks.
- Build and operationalize user-facing data applications using Databricks Apps.
- Use AI coding assistants, LLMs, and agentic workflows to prototype, debug, and deliver architectural assets.
- Mentor peers, create reusable architecture assets, and deliver technical workshops and community presentations.
Requirements
- At least 5 years of data or software engineering experience with hands-on distributed processing and real-time streaming expertise.
- At least 5 years of pre-sales or post-sales technical consulting experience managing customer engagements and multi-stakeholder technical discussions.
- Strong production programming skills in Python, SQL, and Scala or Java, with knowledge of data modeling and system design.
- Experience with Apache Spark, Delta Lake, SDP, Spark Streaming, Kafka, CDC, operational or transactional data layers, low-latency serving, reverse ETL, and HTAP architectures.
- Preferred experience with AWS, Azure, GCP, Hadoop migration, specialized data applications, technical community engagement, public speaking, open-source contributions, mentoring, and interviewing.
- Ability to travel up to 30% for customer engagements and internal activities.
Benefits
- Office-based role in Amsterdam with a hybrid schedule.
- Initial 12-month fixed-term contract, with expected extension or conversion to FTE after successful completion of the probation period.
- Up to 30% travel for customer visits, events, and training.
- Comprehensive regional benefits and perks.
Tech Stack
Apache HadoopApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformJavaPostgreSQLPythonScalaSQL
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.