# Specialist Solutions Architect - Data Engineering at Databricks

> Design and optimize production batch and streaming data pipelines and guide strategic customers on the Databricks platform.

- Company: Databricks (databricks.com)
- Location: Amsterdam, Netherlands
- Places: Amsterdam, Netherlands
- Posted: 2026-10-14
- Team: Field Engineering
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8870159002
- Page: https://ye.saranatour.dev/jobs/specialist-solutions-architect-data-engineering-databricks-kn761tctxy6qnzn2y2c0e9v0sh8hdb8q

## The posting

Specialist Solutions Architect - Data Engineering
Databricks · Amsterdam, Netherlands

(FEQ128R2)

### **The Role**

As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks.

In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering.

### **The impact you will have:**

- **Drive Technical Wins & Scope:** Lead end-to-end technical design, proof of concepts (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:** Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks.
- **Deploy Interactive Data Applications:** Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools.
- **AI-Native Engineering:** Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs.
- **Enablement & Domain Leadership:** Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams.

### **What we look for:**

- **Deep Data Engineering Expertise:** 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:** Demonstrated daily reliance on AI coding tools and LLMs to accelerate pipeline development, troubleshooting, and asset generation.
- **Production Programming & Foundations:** Strong production coding skills in Python, SQL, and Scala or Java, with a solid grasp of data modeling and system design fundamentals.
- **Customer Advisory & Delivery:** 5+ years in pre-sales or post-sales technical consulting, managing customer engagements and navigating multi-stakeholder technical discussions.
- **Operational & HTAP Architectures:** Practical experience with operational/transactional data layers (Postgres/OLTP), low-latency serving, reverse ETL, and hybrid transactional/analytical processing.

### **Nice to haves:**

- **Cloud & Migration Mastery:** Hands-on experience with major cloud platforms (AWS, Azure, GCP) and legacy data lake modernisation (e.g., Hadoop migration and cost optimisation).
- **Application Experience:** Background in constructing specialised data applications (e.g., risk modelling, fraud detection, customer lifetime value) across industries as a data expert.
- **Ecosystem & Culture Contribution:** Active track record of technical community engagement, public speaking, open-source