← All jobs · Databricks

Field Engineering, Data Warehousing Product Specialist

Databricks ·
32
AI-Agency
B25 U45
📍 Sydney, AU Senior 10+ yrs
SnowflakeBigQueryApache SparkDelta Lake
TL;DR

Field Engineering, Data Warehousing Product Specialist at Databricks. Lead technical go-to-market strategy for data warehousing in Asia Pacific and Japan, advising customers on architecture and enabling field teams with competitive positioning.

Apply at Databricks →
you'll be redirected to the company's career page

Job description

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:

What we look for:

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 TwitterLinkedIn 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.

Apply at Databricks →

More open roles at Databricks

Databricks ·
AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
📍 US 🌐 Remote 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Forward Deployed Engineer at Databricks building GenAI solutions for U.S. federal government customers. Develop production-grade RAG, multi-agent systems, and LLM applications; serve as technical advisor and thought leader.
HuggingFaceLangChainDSPyPyTorchscikit-learnpandas
85
AI-core
Databricks ·
PhD GenAI Research Scientist Intern
📍 San Francisco, US 💰 $112K–$124K · Intern
PhD GenAI Research Scientist Intern at Databricks working on domain adaptation for LLMs and enterprise AI systems. Focus on fine-tuning, evaluation, retrieval augmentation, and efficient inference methods.
PyTorchLLMsretrieval augmentationsynthetic data
85
AI-core
Databricks ·
AI Engineer - FDE (Forward Deployed Engineer)
📍 London, GB
AI Engineer (Forward Deployed) at Databricks building production GenAI applications for customers. Develops RAG, multi-agent systems, and LLM solutions using tools like LangChain and PyTorch, with focus on deployment and optimization.
LangChainPyTorchHuggingFaceDSPypandasscikit-learn
83
AI-core
Databricks ·
AI Engineer - FDE (Forward Deployed Engineer)
📍 Singapore, SG 🛠 AI tools welcome at work · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning for enterprise customers. Role involves customer engagement, technical advisory, and cross-functional collaboration with product and engineering teams.
PyTorchHuggingFaceLangChainDSPypandasscikit-learn
81
AI-core
Databricks ·
Staff Software Engineer - GenAI inference
📍 San Francisco, US 💰 $190K–$232K · Staff
Staff software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on architecture, optimization, and scaling of LLM serving across GPUs and accelerators.
CUDAcuBLAScuDNNNCCLPyTorchMLflow
81
AI-core