Databricks
Evergreen L3 Field Engineering Pilot
Databricks, San Francisco, California, United States, 94199
At Databricks, our core values 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. 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 who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals.
You'll report to the Manager of Solutions Architects for the Inside SA Program and will be based in one of our offices in: Seattle/Bellevue, WA, San Francisco (HQ)/Mountain View (Bay area), Chicago, or New York.
The impact you will have:
Form successful relationships with clients 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 issues 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, and 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:
Minimum of 1 year experience in an external customer facing or internal shared services role
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience (2+ years)
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
Ability 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
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
Zone 1 Pay Range
$94,300 — $166,900 USDZone 2 Pay Range
$94,300 — $166,900 USDZone 3 Pay Range
$94,300 — $166,900 USDZone 4 Pay Range
$94,300 — $166,900 USDAbout Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
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.
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You'll report to the Manager of Solutions Architects for the Inside SA Program and will be based in one of our offices in: Seattle/Bellevue, WA, San Francisco (HQ)/Mountain View (Bay area), Chicago, or New York.
The impact you will have:
Form successful relationships with clients 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 issues 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, and 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:
Minimum of 1 year experience in an external customer facing or internal shared services role
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience (2+ years)
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
Ability 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
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
Zone 1 Pay Range
$94,300 — $166,900 USDZone 2 Pay Range
$94,300 — $166,900 USDZone 3 Pay Range
$94,300 — $166,900 USDZone 4 Pay Range
$94,300 — $166,900 USDAbout Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
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.
#J-18808-Ljbffr