Staff Forward Deployment Engineer
Requirements
- Experience
- 10+ years
Joblaze summary
In the role of Staff Forward Deployment Engineer at Databricks, the individual will engage directly with clients to tackle their big data challenges, focusing on the implementation of data pipelines and AI applications using Apache Spark. Proficiency in Python or Scala, along with extensive experience in big data technologies and cloud deployment models, is essential for success. This position is ideal for seasoned professionals with a strong technical background who can lead complex projects and mentor others. Databricks emphasizes best practices and quality service in its customer engagements.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 2358 active Python roles on Joblaze right now.
- 1250 active AWS roles on Joblaze right now.
- 772 active GCP roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 10 years of relevant experience for this Staff Forward Deployment Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Python, GCP, Scala, Azure.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Forward Deployment Engineer role at Databricks.
From the original posting
CSQ426R258
As a Staff Forward Deployment Engineer (DE/AI Spike), you will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark™ and the Databricks Data Intelligence Platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the Director, Professional Services.
The impact you will have:
- You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
- You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
- You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
- Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
- Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
- Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
- Provide experience to the consulting team, provide best practices in client engagement to other teams
What we look for:
- 10+ years of experience in Design and Implementation of Big Data technologies (Apache Spark™) and familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)
- Deep technical knowledge and comfortable coding in Python or Scala
- Familiarity with GCP/Azure/AWS/EC2 cloud deployment models (Public vs. VPC) is a plus
- Experience working with teams across a diverse geographic area
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.