Senior Forward Deployed Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Collaborate with customers to design and implement solutions for data and AI challenges utilizing the Databricks platform.

• Take ownership of architecture, drive design decisions, and execute end-to-end systems that encompass data engineering, AI, and application development.

• Lead technical projects for customers by delivering production-quality systems, reference architectures, custom applications, data ingestion, and integrations of ML/AI models.

• Assist strategic customers in the comprehensive design, build, and deployment of big data and AI applications.

• Define the scope of technical delivery work alongside engagement managers and incorporate customer feedback.

• Provide guidance to customers on architecture and design; initiate or implement customer projects.

• Ensure that solutions are secure, scalable, and meet customer requirements while adhering to Databricks best practices.

• Collaborate with Databricks technical teams, project managers, architects, and customer teams to fulfill engagement components.

• Partner with Engineering and Customer Support to offer product and implementation insights and address engagement-specific challenges.

• Integrate with customer teams and engage stakeholders ranging from technical contributors to executives.

• Contribute reusable accelerators, frameworks, and best practices that can be leveraged across accounts and shape the Databricks product roadmap.

• Educate customers and assist with their technical requirements to enhance the value derived from their data.

⛳️ Requirements

• Over 6 years of experience in data engineering, data platforms and analytics, or software engineering.

• Proficient in coding with Python, Scala, JavaScript/TypeScript, and contemporary frameworks.

• Familiar with at least two major cloud ecosystems: AWS, Azure, or GCP; with expertise in at least one.

• Extensive experience with distributed computing using Apache Spark and a solid understanding of Spark runtime internals.

• Knowledgeable about CI/CD processes for production deployments.

• Familiar with MLOps, ML/AI models, and AI APIs.

• Proven track record in designing and deploying high-performance production end-to-end data architectures and applications that integrate data pipelines, ML/AI models, and user-facing interfaces.

• Experience in delivering technical projects, including managing scope, timelines, and measurable outcomes.

• Capable of translating complex concepts into practical solutions.

• Strong documentation and whiteboarding abilities.

• Experience collaborating with enterprise clients and handling conflicts among diverse stakeholder groups.

• Demonstrated curiosity, adaptability, and enthusiasm for exploring technologies that facilitate Databricks-based solution deployment and integration.

• Willingness to travel to customer locations up to 20% of the time.

• Databricks Certification.

🏝️ Benefits

• Eligibility for annual performance bonuses.

• Eligibility for equity options.

• Comprehensive benefits and perks customized to meet employees' regional requirements.

• Commitment to equal employment opportunity and inclusive workplace practices.