Lead Solutions Architect - AI/BI

Databricks
München, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

München, Germany

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Azure
Computer Programming
Information Engineering
Data Visualization
Data Warehousing
Software Debugging
Python
Machine Learning
Software Engineering
SQL Databases
Data Streaming
Spark
Data Strategy
Information Technology
Databricks

Job description

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way., * Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

  • As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
  • Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
  • Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
  • Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Requirements

Do you have experience in Spark?, Do you have a Bachelor's degree?, * Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment

  • Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
  • Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
  • Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL, * 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
  • Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
  • Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
  • Proficient in programming, debugging, and problem-solving using SQL and Python.
  • Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
  • Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
  • Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
  • A track record of driving complex projects to completion in fast-paced, customer-facing environments.

Benefits & conditions

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

About the company

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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