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At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The impact you will have:
- Act as a Solution Architect applying broad technical expertise across the data platform, including data science, machine learning, and business intelligence, while serving as the primary subject matter expert in data warehousing and data engineering.
- Lead the design and implementation of complex, end-to-end modern data architectures, with a deep focus on creating scalable and performant data warehouses and robust data ingestion pipelines.
- Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Scale best practices in data warehousing and engineering across your region by authoring reference architectures, how-tos, and demo applications.
- Operate as a trusted advisor, leading discussions on architecture, design, and implementation to ensure the successful adoption of the Databricks Data Intelligence Platform.
What we look for:
- Proven ability to operate as an expert generalist, capable of context-switching between different data disciplines and experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences.
- Spike in Data Warehousing: hands-on experience with data modelling (e.g., dimensional modelling, 3NF), query optimisation, performance tuning, and migrating traditional data warehouses to modern lakehouse architectures.
- Spike in Data Engineering: Expert-level skills in designing, building, and optimising production-grade ETL/ELT pipelines using technologies like Spark.
- Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
- Proficient with big data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
- Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
- Develop customer relationships and build internal partnerships with account executives and teams.
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 Twitter, LinkedIn 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.