Lead Specialist Solutions Architect - AI/BI

Mission of the Solutions Architect (AI/BI) Team

The Solutions Architect (AI/BI) team at Databricks plays a pivotal role in the strategic Product Operating Model. Their primary focus is on establishing product-market fit and driving rapid revenue growth for earlier stage, high-priority product lines. While part of a global go-to-market team, individual architects will cover a specific local region, engaging clients across various business units and verticals. They partner closely with direct account teams to foster relationships, deeply position specific product lines, and provide compelling reasons for client adoption and usage growth. This role ensures clients successfully adopt products, adhere to necessary guardrails, and achieve their business objectives.

Role Responsibilities and Strategy

A Lead Specialist Solutions Architect - AI/BI is paired with an Account Executive for a given product line, with shared specific targets. Together, they will:

• Devise and implement comprehensive strategies for their assigned accounts.
• Develop and deliver compelling presentations, demonstrations, and other assets.
• Ensure clients are well-informed to make meaningful adoption decisions for the product-line.

Core Technical Competencies for AI/BI Product-line

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in client environments.
• Ability to advise customers on Lakehouse analytics architecture, including preparing Databricks stakeholders and directly communicating with clients, proactively addressing potential blockers.
• Certification or demonstrated competence in data visualisation and analytics systems, combined with expertise in one of Azure, AWS, or GCP cloud providers.
• Demonstrated competence in the Lakehouse architecture, with hands-on experience using Apache Spark, Python, and SQL.

Impact You Will Have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• Serve as a trusted advisor, expert Solutions Architect, and "champion," building technical credibility to drive product adoption and vision.
• Enable clients at scale through workshops and the development of customer-facing collateral, enhancing technical knowledge and thought leadership.
• Influence the product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges within this product line, acting as the tier-3 escalation point for the field to ensure customer success in mission-critical environments.

Key Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales, or consulting role, influencing technical executives and 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 data engineering, data warehousing, AI, ML, governance, transactional systems, and app development.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, or Engineering.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

About Databricks

Databricks is the data and AI company, empowering over 10,000 organizations worldwide, including many Fortune 500 companies, with its Data Intelligence Platform. Founded by the creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow, Databricks unifies and democratizes data, analytics, and AI. Headquartered in San Francisco, with offices globally.

Key skills/competency

• Solutions Architecture
• AI/BI
• Data Visualization
• Cloud Analytics
• Lakehouse Architecture
• Apache Spark
• Python
• SQL
• AWS/Azure/GCP
• Pre-sales Consulting