Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)
Databricks3 months ago
Milan, ItalySenior
Responsibilities
- Lead EMEA technical go-to-market and adoption strategy for large-scale enterprise data warehouse migrations.
- Architect and continuously improve programmatic migration processes, technical guides, guardrails, and scalable field assets.
- Help maintain, enhance, and direct development of automated customer migration assessment tooling.
- Serve as the tier-three technical escalation point for complex, strategic, or stalled migrations.
- Mentor and coach EMEA Solutions Architects and Specialist Solutions Architects.
- Provide technical feedback to Product Management and Engineering.
- Develop presentations, demos, whitepapers, technical blogs, and public presentations to promote enterprise database modernization.
- Collaborate with Professional Services and Global Systems Integrators to standardize migration delivery and handoffs.
Requirements
- 8+ years of customer-facing experience in presales, 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, and Exadata.
- Expertise in migration scope and progression from enterprise data warehouses to the full Databricks Data Intelligence Platform.
- Hands-on experience with Lakehouse architecture, Apache Spark, Python, and SQL.
- Hands-on experience designing and implementing big data architectures in AWS, Azure, or GCP.
- Excellent written and verbal communication skills.
- Experience collaborating with Professional Services and Global Systems Integrators.
- Experience with strategic enablement, community mentorship, technical presentations, and customer-facing demonstrations.
Benefits
- Comprehensive regional employee benefits and perks are offered; specific details vary 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.