Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)
Databricks3 months ago
Amsterdam, NetherlandsSenior
Responsibilities
- Lead regional technical go-to-market and adoption strategies for large-scale enterprise data warehouse migrations across EMEA.
- Develop and refine programmatic migration assets, technical guides, and scalable processes for field teams and partners.
- Build, maintain, enhance, and direct automated customer migration assessment tooling.
- Serve as the Tier-3 technical escalation point for complex, strategic, or stalled migrations.
- Mentor and coach EMEA Solutions Architects and Specialist Solutions Architects to scale the pre-sales migration practice.
- Provide technical feedback to Product Management and Engineering based on field and customer insights.
- Create whitepapers, technical blogs, presentations, demos, and public thought-leadership content.
- Collaborate with Professional Services and Global Systems Integrators to standardize migration delivery and handoffs.
Requirements
- 8+ years of customer-facing experience in pre-sales, architecture, or consulting roles influencing technical executives and driving database modernization strategy.
- Understanding of legacy enterprise data warehouse systems and architectures, including Teradata, Netezza, Snowflake, Synapse, Redshift, or Exadata.
- Demonstrated ability to scope and progress migrations from enterprise data warehouses to the full Databricks Data Intelligence Platform.
- Hands-on Lakehouse architecture experience with Apache Spark, Python, and SQL.
- Hands-on experience designing and implementing big data architectures in AWS, Azure, or GCP.
- Strong written and verbal communication skills.
- Experience collaborating with Professional Services and Global Systems Integrators.
- Experience with strategic enablement, community mentorship, and technical executive engagement.
Benefits
- Comprehensive employee benefits and perks are offered, with specific details varying by region.
Tech Stack
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.