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JobsDatabricks

Account Executive - Federal

Databricks

Account Executive - Federal

Databricks

Australian Capital Territory, Australia

·

On-site

·

Full-time

·

4d ago

SLSQ227R51

At Databricks, we’re on a mission to help organisations use data and AI to solve the world’s toughest problems — and few opportunities are more rewarding than driving positive change across Australia's Federal sector. We’re looking for a passionate and results-driven Enterprise Account Executive to help our government partners harness the full power of the Databricks platform.

This is a pioneering sales role within our Public Sector Sales team, reporting directly to the Senior Sales Director. You’ll work at the forefront of digital transformation in the Federal Sector, helping agencies reimagine how they deliver outcomes and play a pivotal role in shaping Databricks’ presence across the country. As a successful candidate, you are a creative, energetic self-starter who understands the sales process. You know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always hunting for new opportunities, you will be asked to close net new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota accomplishment.

The Impact You Will Have:

  • Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.

  • Champion real-world change: Lead initiatives that make measurable impact — from accelerating innovation in health and education to supporting sustainability and economic development.

  • Shape Databricks’ Public Sector footprint: Identify, structure, and close strategic opportunities that align our capabilities with Australia’s digital priorities.

  • Inspire through connection: Build trusted relationships with senior decision-makers, tell compelling stories about our impact, and influence at the highest levels.

  • Execute with excellence: Manage the end-to-end sales cycle — from prospecting and initial engagement to closing transformative deals and driving platform adoption.

  • Collaborate for success: Work with solution architects, customer success, and global teams to deliver solutions that empower customers and ensure long-term success.

What We Look For:

  • A passion for impact — you’re motivated by helping organisations use technology for the public good.

  • Proven experience in Federal or Public Sector sales, ideally in Cloud, Data, or SaaS.

  • Strategic and structured in approach, with strong execution and accountability.

  • Excellent communication and relationship-building skills with senior stakeholders.

  • Growth mindset, creativity, and adaptability in dynamic, innovative environments.

  • Knowledge of Spark and Big Data is highly desirable

  • Security clearance (NV1) preferred. If not, eligible to apply for NV1 clearance

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge