Senior Solutions Architect

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world

**The impact you will have**:

- Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
- Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
- Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
- Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.

**What we look for**:

- Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
- Experienced in managing key decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
- Prior experience with coding in a core programming language (i.e., Python, Java, Scala), Apache Spark experience is preferable.
- Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
- Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.

**Benefits**
- Complementary health insurance
- Complementary life and disability coverage
- Complementary pension
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel accident insurance

**About Databricks**

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

**Our Commitment to Diversity and Inclusion**

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

**Compliance