7+ years in a customer-facing pre-sales or consulting role, preferably in big data technologies
Experience designing and architecting distributed data systems
Proficient in programming and debugging in Python, SQL, Scala, Java, or R
Familiarity with global system integrators and financial services technology
Experience with cloud solutions on AWS, Azure, or GCP
Knowledgeable in Data Engineering technologies like Spark and Hadoop
Background in Data Warehousing technologies such as SQL and OLTP/OLAP/DSS
Responsibilities
Partner with sales team to demonstrate how Databricks addresses customer business problems
Provide technical leadership for evaluating and adopting Databricks solutions
Consult on big data architecture and execute proof of concepts for projects
Build and present reference architectures and demonstration applications for clients
Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) in developer communities
Travel to meet with customers within designated territory
Benefits
Comprehensive benefits package tailored to employee needs
Opportunities for professional development and career growth
Eligibility for annual performance bonus and equity options
Support for educational and training resources
Flexible work arrangements to promote work-life balance
Full Job Description
FEQ327R368
While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.
The impact you will have:
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Provide technical leadership for customers to evaluate and adopt Databricks
Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
Build and present reference architectures, how-tos, and demonstrate applications for customers
Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
Travel to meet with customers in your territory
What we look for:
7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
Experience designing and architecting distributed data systems
Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
Experience building solutions with public cloud providers such as AWS, Azure, or GCP
Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,000-$247,500 USD
BenefitsAt 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.
About Databricks
Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
