← Back to results

This position may no longer be available

This job was last seen 3 days ago. The listing may have been removed by the employer.

Field Engineering, Data Warehousing Product Specialist

Location
Sydney, Australia
Compensation
Not disclosed
Level
lead
Type
full time

Requirements

Experience
10+ years

Joblaze summary

In the role of Data Warehousing Product Specialist, the individual will focus on shaping and executing the technical go-to-market strategy for Databricks in the Asia Pacific and Japan regions. This position requires extensive knowledge of cloud-based data warehousing technologies and the ability to communicate effectively with senior executives to guide their data architecture decisions. Ideal candidates will have over a decade of experience in data warehousing and a proven track record in pre-sales environments, making them well-suited to influence strategic data initiatives.

Joblaze insights

Quick facts

How much experience is required?
At least 10 years of relevant experience for this Field Engineering, Data Warehousing Product Specialist role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Snowflake, BigQuery, Data Warehousing.
What seniority level is this role?
Databricks targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Field Engineering, Data Warehousing Product Specialist role at Databricks.

From the original posting

FEQ426R280

As the Data Warehousing Product Specialist in the Field Engineering team, you will be defining and driving our technical go to market strategy in the Asia Pacific and Japan region.

You will be directly working with customers to guide and influence their data warehousing architecture and decisions. You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with the Product Manager(s) to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.

You have expertise in cloud-based data warehousing technologies, modern data platform architectures, traditional data warehousing techniques and preferably industry domain knowledge. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

  • Lead the vision and strategy for Data Warehousing Adoption in Asia Pacific and Japan
  • Develop materials for our GTM team to effectively communicate our value proposition
  • Support our field teams in key strategic pursuit opportunities
  • Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
  • Act as the thought leader to build confidence and relationships with our customers at the executive level
  • Present externally at conferences, events and webinars and publish content to establish our position in the market
  • Work with post sales and partners to establish migration best practices
  • Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion

What we look for:

  • 10+ years of experience in data warehousing and familiar with modern lakehouse architectures
  • Deep technical knowledge of the Data Warehousing Product, e.g. Snowflake, BigQuery, etc.
  • Trusted advisor to technical executives that inform strategic data decisions
  • Proven track record of successful pre-sales experience in competitive situations
  • Ability to define and executive strategic program cross functionally
  • High impact communication internally and externally

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 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.

Similar positions

Databricks
Director, Field Engineering
Databricks · Tokyo, Japan
Databricks
Databricks
Manager, Field Engineering
Databricks · Singapore