Senior Lakebase Sales Specialist (Central) at Databricks

Apply for Senior Lakebase Sales Specialist (Central) at Databricks in München, BY, DE. This full‑time, on‑site position offers great opportunities for career growth.

This role is based in Munich and covers customers in the Central region (Germany, Switzerland, Austria, Eastern Europe).

Responsibilities

• Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully‑managed Postgre SQL for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real‑time, AI‑driven experiences.
• Run complex, multi‑threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line‑of‑business stakeholders.
• Orchestrate proof‑of‑value and POCs that validate Lakebase’s benefits for OLTP‑style workloads, reverse ETL, and AI/ML‑driven applications in partnership with solution architects and specialists.
• Compete and win against legacy and cloud‑native operational databases by leveraging Databricks’ market assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time‑to‑market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross‑functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co‑selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.
• Success Metrics

Success in this role requires strength in four areas: business ownership, strategic account engagement, field/account & customer enablement, and market voice & thought leadership.

The role must operate across two key motions simultaneously: establishing top strategic focus accounts and driving longer‑term Postgre SQL standardization and migration within Databricks’ most strategic accounts.

Qualifications

• 8+ years of enterprise Saa S sales experience, consistently exceeding quota in complex, multi‑stakeholder deals.
• Proven success selling data platforms, operational databases (e. g., Postgre SQL, My SQL, cloud‑native DBaa S), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud‑native services, microservices, event‑driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line‑of‑business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C‑level conversations, and build trust with senior decision makers.
• Strong value‑selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.
• Preferred Qualifications
• Experience selling Postgre SQL, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real‑time decisioning, and operational analytics use cases, and how they drive value for customer‑facing and internal applications.
• Exposure to AI‑native and agent‑driven applications that depend on low‑latency, highly scalable operational data services.
• Prior experience in a high‑growth, category‑creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co‑sell motions.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

EEO Statement

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 and expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status and other protected characteristics.

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