Databricks
Solutions Architect
To accelerate innovation for its customers by unifying Data Science, Engineering and Business
Software engineering
Full-time
Office | Sydney, NSW, Australia
Visa sponsorship · No
Senior · A role for someone with advanced knowledge and skills. May involve mentoring, leading others or specialisation. Typically at least 5 years of experience.
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Why Databricks
Today, more than 7,000 organizations worldwide — including ABN AMRO, Condé Nast, H&M Group, Regeneron and Shell — rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics.
Headquartered in San Francisco, with offices around the world and hundreds of global partners, including Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton, Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems.
About the role
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 Data Intelligence 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 Field Engineering Manager of your assigned territory and segment.
The impact you will have:
- You will be a Big Data expert on aspects of architecture and design on public cloud
- Lead your prospects through evaluating and adopting Databricks
- Support your customers by authoring reference architectures, how-tos, and demo applications
- Integrate Databricks with 3rd-party applications to support customer architectures
- Engage with the technical 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 provide technical and business value
What we look for:
- 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 Data Engineering and Cloud Architect advantageous
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
- Experience with Big Data technologies, including Apache Spark™ , AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
- Fluent coding experience in Python or Scala implementing Apache Spark™, Java
- Experience with Data Science and related technologies (R and various algorithms) would be a plus
What you'll be responsible for
- ✅
Stakeholder Engagement
Partner with stakeholders to understand specifications, business requirements, and communicate insights
- 🤖
Scripting and Automation
Develop scripts and automated workflows to improve the efficiency and accuracy of repeated tasks
- 🛠
Test Automation
Create and implement code tests and software test automation
Skills you'll need
- 👥
Collaboration
Works with others by being open, clear in communication and listening to achieve goals
- 🧮
Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
- 🔍
Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables
Meet the team
Our global engineering team develops and operates one of the largest-scale software platforms. With global customers in every vertical — from healthcare to software — our team collaborates and innovates together to solve multicloud, distributed systems, data visualization and infrastructure challenges. Join our team to build and evolve our product — together, we can revolutionize the future of data and AI.