Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)
Databricks3 months ago
London, United KingdomSenior
Responsibilities
- Design and drive regional technical go-to-market and adoption strategies for large-scale EDW migrations to the Databricks Data Intelligence Platform.
- Develop and continuously refine programmatic migration assets, technical guides, and scalable processes for field teams and partners.
- Help maintain, enhance, and direct development of automated customer assessment tooling.
- Act as the tier-three 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.
- Provide technical feedback to Product Management and Engineering based on field and customer insights.
- Author whitepapers and technical blogs and deliver presentations at public forums such as the Data + AI Summit.
- Collaborate with Professional Services and Global Systems Integrators to standardize migration delivery methodologies 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 EDW systems and migration architectures, including Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata.
- Mastery of migration scope and progression from EDW environments 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.
- Experience with strategic enablement and community mentorship.
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.