Databricks: Director, Lakebase Sales Specialist- Financial Services — New York City, New York

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Director, Lakebase Sales Specialist- Financial Services in New York City, New York, under reference 8569608002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: HQ Management
• Employer listing date: 8 June 2026

Responsibilities and work described

• Drive Revenue Growth
• Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region
• Building: and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities
• Support: the team in replacing or consolidating legacy operational databases onto the Databricks platform
• Execute and scale repeatable sales plays that drive land-and-expand adoption
• Leadership: and Develop the Specialist Team
• Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists
• Delivery: direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement
• Foster a culture of accountability, execution, and customer focus
• Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies
• Execute the Developer and Platform Sales Motion
• Implementation: the global strategy for selling to application developers, platform engineering, and architecture organizations within your region
• Enable the regional core field sales team to identify and qualify operational workload opportunities
• Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads
• Leadership: architecture workshops and developer engagement initiatives to demonstrate tangible business value
• Strategic Customer and Partner Engagement

Essential requirements and candidate background

• 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales
• 3+ years of experience directly managing high-performing enterprise sales or specialist teams
• Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization
• Technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications
• Track record of selling into CIO, CTO, architecture, and platform engineering organizations
• Co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams
• A record of meeting or exceeding revenue targets in highly competitive markets
• Translate complex technical platform capabilities into tangible business value for both executives and developers
• Communication, coaching, and presentation skills
• Pay Range Transparency
• Zone 1 Pay Range
• $430,400 — $591,800 USD
• Zone 2 Pay Range
• Zone 3 Pay Range
• Zone 4 Pay Range

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Databricks is committed to fair and equitable compensation practices
• The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles
• Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location
• Based on the factors above, Databricks anticipated utilizing the full width of the range
• The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above
• For more information regarding which range your location is in visit our page here
• Advertised location: New York City, New York

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Director, Lakebase Sales Specialist- Financial Services vacancy is not an offer for reference 8569608002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8569608002.

Compare your qualifications and experience with the essential conditions for the New York City, New York position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

• APIs
• AI/ML
• Excel
• AI
• compliance
• sales
• marketing
• training
• stakeholder management
• communication