Field Engineering, Data Warehousing Product Specialist

Databricks Inc.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading data technology company in Singapore is seeking a Data Warehousing Product Specialist to drive technical strategies in the Asia Pacific region. The ideal candidate will have over 10 years of experience in data warehousing, particularly with cloud technologies like Snowflake and BigQuery. This role requires strong communication skills and the ability to influence data architectures of customers. Join a company that values innovation and thought leadership in the data space.

Qualifications

• 10+ years of experience in data warehousing.
• Familiarity with modern lakehouse architectures.
• Proven track record of successful pre-sales experience.

Responsibilities

• Lead the vision and strategy for Data Warehousing Adoption.
• Develop materials for the GTM team.
• Support field teams in strategic opportunities.

Skills

Expertise in cloud-based data warehousing technologies

Strong communication

Understanding of modern data platform architectures

Pre-sales experience

Tools

Snowflake

BigQuery

Job description

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