← All roles

Specialist Solutions Architect - Data Engineering

Databricks· Engineering
Apply on company site
Hybrid (Amsterdam)contractPosted 1w ago

About the role

Hands-on technical authority guiding strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform, with a focus on real-time streaming, performance optimization, and operational data layers while expanding impact across Field Engineering.

Responsibilities

  • Lead end-to-end technical design, PoCs, and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins.
  • Architect production data systems by designing, building, and optimizing scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks.
  • Deploy interactive data applications by building and operationalizing custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools.
  • Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs.
  • Enablement & domain leadership by mentoring peers, contributing reusable architecture assets, and delivering technical workshops and community presentations across accounts and field teams.

Qualifications

  • 5+ years in data or software engineering with hands-on proficiency in distributed processing (Apache Spark™, Delta Lake, SDP) and real-time streaming technologies (Spark Streaming, Kafka, CDC).
  • AI-First Builder Mindset with daily reliance on AI coding tools and LLMs to accelerate pipeline development, troubleshooting, and asset generation.
  • Strong production coding skills in Python, SQL, and Scala or Java, with solid data modeling and system design fundamentals.
  • 5+ years in pre-sales or post-sales technical consulting, managing customer engagements and navigating multi-stakeholder technical discussions.
  • Practical experience with operational/transactional data layers (Postgres/OLTP), low-latency serving, reverse ETL, and HTAP (hybrid transactional/analytical processing).

Skills

Required:Apache SparkDelta LakeSpark StreamingKafkaPythonSQLScala/Java
Nice to have:Postgres/OLTP

Benefits

  • Benefits information linked here: https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
Company profileWebsite

More open roles at Databricks