They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals.

By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.

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.

The AI/BI product-line requires the following core technical competencies:

• 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

The impact you will have:

• 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.

Competencies & Responsibilities:

• 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.

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As a Senior Solutions Architect - AI/BI, you will work in partnership with direct account teams to jointly engage clients, foster necessary relationships, position in-depth the specific product line, and provide compelling reasons for clients to adopt and grow the usage of the given product.

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, expert Solutions Architect, and champion, 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 succeed 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.

If you are a motivated and experienced professional with a passion for data and AI, we encourage you to apply for this exciting opportunity.

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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.

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