Senior Solutions Architect - AI/BI

The Solutions Architect (AI/BI) team executes on Databricks' strategic Product Operating Model to establish product market fit and set the course for rapid revenue growth.

As a Senior Solutions Architect - AI/BI, you will collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

Key responsibilities include:

• Collaborating with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• Serving as a trusted advisor and expert Solutions Architect, building technical credibility with stakeholders to drive product adoption and vision.
• Enabling clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influencing product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.

To be successful in this role, you will need:

• 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.

Required skills include:

• 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.
• 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.

Preferred skills include:

• Experience with Databricks products and services.
• Knowledge of data science and machine learning concepts.

This is a senior-level role that requires a strong background in data and AI, as well as excellent communication and collaboration skills.