Senior Solutions Architect

As a Senior Solutions Architect, you will guide the technical data strategy of our sales process. You will be an essential technical advisor internally to the sales team and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Lakehouse Platform, helping data teams complete projects in production and integrating our platform in their enterprise Ecosystem. Your work will help our customers innovate faster and make better use of their data to solve real-world problems, such as renewable energy and even developing the next generation of medicine.

The impact you will have:

• You will help determine our customer’s data strategy and their steps to success, with our customers and with our teams
• As an expert in the sphere of data analytics, you will be seen as an expert on issues of market usage of data architecture, design & implementation
• You’ll lead your prospects through understanding the value, the evaluation and adoption of Databricks
• Support your customers by authoring reference architectures, how-tos and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• You’ll engage with the data community by leading workshops, seminars and meet-ups
• Together with your account executive, you will form successful relationships with clients throughout your assigned territory to achieve technical and business value

What we look for:

• Comfortable with navigating customer and partner hierarchies and building relationships
• Passionate about working as part of a team to orchestrate success for your customer
• Explain technical concepts to partners
• Experience working in customer-facing pre-sales or consulting roles with clients at different levels from leadership to technical teams to make them successful
• Experience creating customer-facing collateral and displaying expertise in customer or industry events
• Design architectures within a public cloud (AWS, Azure or GCP)
• Experience with Enterprise Data Warehouse or big data technologies such as Apache Spark
• Comfortable writing code in either Python, Scala or SQL
• A core strength in either data analytics or data engineering or data science is advantageous

Benefits

• Life, accident and disability coverage
• Company pension with employer contribution
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance

About Databricks

Want to help speed the development of medical breakthroughs? Make the next mode of transportation a reality? Or discover ways to reverse climate change? We’re on a mission to help data teams solve the world’s toughest problems. The opportunity is huge and Databricks has emerged as a leader. Thousands of enterprises — including Comcast, Virgin Hyperloop and H&M — already rely on us to power their businesses and we’re just getting started. Now it’s your turn - join us to grow your career and make an impact with some of the brightest minds in the industry.

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.