Solutions Architect

Databricks
Melbourne, Australia
Career-pivot friendly

Who this role is best for

Best suited to technically skilled professionals with experience in big data analytics and a customer-centric mindset working in enterprise data solution environments.

Best fit for

  • Candidates with prior coding experience and a background in big data analytics
    — “Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark”
  • Individuals who thrive in collaborative, customer-focused teams and enjoy creating tailored solutions
    — “You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions”
  • Professionals who can act as a trusted advisor and champion for complex data architecture challenges
    — “develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation”

Things to consider

  • This role may involve travel or in-person client engagement, despite location being specified as Melbourne
    — “Form successful relationships with clients throughout your assigned territory”
  • The role requires a willingness to engage in public speaking and community-building activities
    — “help build the Databricks community in your region by leading workshops, seminars, and meet-ups”

How to stand out

  • Demonstrate experience in delivering complex solution architecture designs to diverse audiences
    — “Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences”
  • Showcase your ability to author reference architectures and technical documentation
    — “Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications”
  • Highlight your ability to guide customers toward informed decisions using technical expertise
    — “using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful customer relationships
  • technical and business value to customers
  • authoring reference architectures
Typical background
experience in technical salesbackground in big data analytics

Skills & requirements

Required

Big Data AnalyticsCloud PlatformsTechnical SalesCustomer Relationship ManagementCoding In Core Programming Languages

Preferred

SparkDatabricks Platform

Stack & domain

PythonJavaScalaSparkLeadershipCommunicationData ScienceAnalytics

About the role

Original posting from Databricks

FEQ427R115

Location: Melbourne

At Databricks, our core principles 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 Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized 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: 

Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.

Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.

Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.

Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.

Develop customer relationships and build internal partnerships with account executives and teams.

Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.

Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  

Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Source: Databricks careers

Similar roles

More roles at Databricks