Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)
Databricks3 months ago
Paris, FranceSenior
Responsibilities
- Lead EMEA technical go-to-market and adoption strategies for enterprise data warehouse migrations to the Databricks Data Intelligence Platform.
- Develop scalable migration processes, technical guides, programmatic assets, and automated customer 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 presales migration practice.
- Collaborate with account teams, Product Management, Engineering, Professional Services, and Global Systems Integrators.
- Create presentations, demonstrations, whitepapers, technical blogs, and public conference content.
- Provide technical feedback to Product Management and Engineering based on customer and field engagements.
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 migration architectures, including Teradata, Netezza, Snowflake, Synapse, Redshift, or Exadata.
- Experience taking customers from enterprise data warehouses to the full capabilities of the 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 to standardize migration delivery methodologies and handoffs.
- Ability to provide strategic enablement, community mentorship, and technical thought leadership.
Benefits
- Comprehensive benefits and perks are offered, with details varying by employee 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.