Senior Enterprise Data Architect - Pre-Sales

databricks; Greater London; Sur place; GBP 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Databricks Certification (nice to have

Résumé du poste

Databricks in London, UK, is seeking an experienced Solutions Architect to guide customers in adopting the Databricks Data Intelligence Platform. You will work with cross-functional teams to design data analytics architectures, drive adoption strategies, and influence stakeholders across cloud ecosystems.

You will engage with large customers, coach account teams, and lead workshops to showcase the Databricks Lakehouse platform capabilities.

Qualifications

• Experience engaging with complex customers in a technical pre-sales role.
• Strong background in data engineering/data warehousing or ML/AI.
• Ability to lead technical discussions with C-level executives and teams.

Responsabilités

• Engage with Databricks' largest and most complex customers across the region to advise on adopting the platform.
• Develop and execute customer engagement strategies with Account Executives and Solutions Architects.
• Coach account teams on positioning, adoption strategies, and execution within defined timelines.
• Influence stakeholders across cloud ecosystems and third-party apps to align on Databricks vision.
• Act as an expert solutions architect and trusted advisor for data analytics architecture and adoption of the Lakehouse platform.
• Contribute to the Databricks community by developing collateral and leading workshops and meet-ups.
• Pursue one of four tracks: technical specialization, vertical thought leadership, strategic customer vision, or people management.

Connaissances

Data Engineering

Data Warehousing

Machine Learning/AI

Python

SQL

Public Cloud (AWS/Azure/Google)

Spark

Outils

Spark

Description du poste

Databricks in London, UK, is seeking an experienced Solutions Architect to guide customers in adopting the Databricks Data Intelligence Platform. You will work with cross-functional teams to design data analytics architectures, drive adoption strategies, and influence stakeholders across cloud ecosystems.

You will engage with large customers, coach account teams, and lead workshops to showcase the Databricks Lakehouse platform capabilities.