Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud)

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a 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 Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Senior Manager, Solutions Architect.

The impact you will have:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science advantageous
• Experience demonstrating technical concepts, including presenting and white-boarding
• Comfort in designing and implementing architectures within a public cloud (AWS, Azure or GCP)
• Exposure to with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Solid coding experience in Python, R, Java, Spark or Scala
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

What we look for:

• 8+ years' Pre-sales or post-sales experience working with external clients across a variety of industry markets
• You will have experience in a customer-facing technical role with expertise in at least one of the following: Data modeling, BI tooling, MPP/DWH, Data governance - Build use cases that use data - such as risk modelling, fraud detection, customer life-time value.
• Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
• Maintain and extend production data systems to evolve with complex needs.
• Production experience in SQL, Proc/SQL, etc
• Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

Benefits

• Private hospital plan and extras cover
• Life, disability and income protection coverage
• Superannuation
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund

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.