Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Databricks Inc.; Austin (TX); On-site; USD 182,000 - 250,208; Full time

Job summary

Databricks Inc. is seeking a Sr. Forward Deployed Engineer (FDE) for Communications, Media, Entertainment & Games in Austin, Texas.

In this Resident Solutions Architect role, you will partner with clients on short- to mid-term engagements, delivering data engineering, data science, and cloud solutions using the Databricks platform. You will design reference architectures, guide customers through end-to-end transformations, and work with engagement managers to scope and deliver value while

Qualifications

• 6+ years experience in data engineering, data platforms & analytics.
• Proficiency in Python or Scala.
• Experience with two or more Cloud providers (AWS, Azure, GCP) and at least one in depth.
• Deep experience with distributed computing using Apache Spark and Spark internals.
• CI/CD for production deployments proficiency.
• Experience with MLOps and end-to-end data architectures.
• Strong project delivery, scope and timeline management.
• Excellent documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Willingness to travel up to 20%.
• Databricks Certification preferred.

Responsibilities

• Design and implement reference architectures and production-ready use cases.
• Scope professional services with engagement managers and client input.
• Guide strategic customers through big data transformations from design to deployment.
• Consult on architecture and bootstrap customer projects delivering value.
• Provide escalated support for operational issues.
• Collaborate with Databricks teams to ensure engagement success.
• Contribute product feedback to enable rapid issue resolution.

Skills

Data engineering

Data platforms

Analytics

Python

Scala

Cloud ecosystems

AWS

Azure

GCP

Apache Spark

Spark runtime internals

CI/CD

MLOps

End-to-end data architectures

Project delivery

Documentation

Client engagement

Travel availability

Databricks Certification

Job description

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games Austin, Texas

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

Impact you will have

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

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 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. Based on the factors above, Databricks anticipated 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 .

Zone 1 Pay Range $182,000 — $250,208 USD

Zone 2 Pay Range $182,000 — $250,208 USD

Zone 3 Pay Range $182,000 — $250,208 USD

Zone 4 Pay Range $182,000 — $250,208 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 — 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.