Databricks Inc.
Specifically targeting candidates based in New York City, New York.
At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!
This will be an in‑office role and candidates must be based in one of our offices in Denver, CO or New York City.
Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
Scale best practices in your field and support customers by authoring reference architectures, how‑tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet‑ups.
Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for
The ideal candidate has 2+ years of technical experience in a customer‑facing solutions engineering role
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
Hands‑on experience with Python, Java, or Scala, and proficiency in SQL
Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
Aptitude to interact with customers confidently and professionally
Can meet expectations for technical training and role‑specific outcomes within 6 months of hire
Pay Range Transparency Zone 1 Pay Range
$94,300 — $166,900 USD
Zone 2 Pay Range
$94,300 — $166,900 USD
Zone 3 Pay Range
$94,300 — $166,900 USD
Zone 4 Pay Range
$94,300 — $166,900 USD
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—relied 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, please visit https://www.mybenefitsnow.com/databricks.
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 seeking 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 the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr
At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!
This will be an in‑office role and candidates must be based in one of our offices in Denver, CO or New York City.
Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
Scale best practices in your field and support customers by authoring reference architectures, how‑tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet‑ups.
Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for
The ideal candidate has 2+ years of technical experience in a customer‑facing solutions engineering role
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
Hands‑on experience with Python, Java, or Scala, and proficiency in SQL
Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
Aptitude to interact with customers confidently and professionally
Can meet expectations for technical training and role‑specific outcomes within 6 months of hire
Pay Range Transparency Zone 1 Pay Range
$94,300 — $166,900 USD
Zone 2 Pay Range
$94,300 — $166,900 USD
Zone 3 Pay Range
$94,300 — $166,900 USD
Zone 4 Pay Range
$94,300 — $166,900 USD
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—relied 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, please visit https://www.mybenefitsnow.com/databricks.
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 seeking 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 the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr