Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)
The impact you will have
Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.
Competencies & Responsibilities
6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
Proficient in programming, debugging, and problem-solving using SQL and Python. Also requiring prior experience with Apache Spark or similar analytics engine tooling for large-scale data processing.
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
A track record of driving complex projects to completion in fast-paced, customer-facing environments.
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About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
