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Sr. Solutions Architect - Sydney, Australia - Databricks

Databricks Sydney, Australia

5 days ago

Description

To accelerate innovation for its customers by unifying Data Science, Engineering and Business

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Mid Level · A role for someone with some well-developed knowledge and skills they can bring to the role and team. Typically within 2-5 years of experience.

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 thetechnical evaluation phase in a hands-on environment throughout the sales process. You will bea technical advisor internally to the sales team, and work with the product team as an advocateof your customers in the field. You will help our customers to achieve tangible data-drivenoutcomes through the use of our Databricks Lakehouse Platform, helping data teams completeprojects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader inyour field, while finding solutions to our customers' biggest challenges in big data, analytics,data engineering and data science problems. You will report to the Solutions Architect Manager.

The impact you will have:● You will be a Big Data Analytics expert on aspects of architecture and design● Lead your clients through evaluating and adopting Databricks including hands-on Sparkprogramming and integration with the wider cloud ecosystem● Support your customers by authoring reference architectures, how-tos, and demoapplications● 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 clientsthroughout your assigned territory to provide technical and business valueWhat we look for:● Pre-sales or post-sales experience working with external clients across a variety ofindustry markets● Understanding of customer-facing pre-sales or consulting role with a core strength ineither data engineering or data science advantageous● Experience demonstrating technical concepts, including presenting and white-boarding● Experience designing and implementing architectures within a public cloud (AWS, Azureor GCP)● Experience with Big Data technologies, including Spark, AI, Data Science, DataEngineering, Hadoop, Cassandra, and others● Solid coding experience in Python, R, Java, Spark or Scala● Bachelor's degree in Computer Science, Information Systems, Engineering, orequivalent experience through work experienceBenefits● Private hospital plan and extras coverage● Life, disability and income protection coverage● Superannuation● Equity awards● Paid parental leave● Gym reimbursement● Annual personal development fund● Work headphones reimbursement● Business travel insurance● Mental wellness resources

What you'll be responsible for

Develop scripts and automated workflows to improve the efficiency and accuracy of repeated tasks

Create and implement code tests and software test automation

Skills you'll need

Works with numerical information and performs mathematical calculations to solve problems

Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables

Meet the team

Databricks

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.

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