Senior Forward Deployed Engineer
Databricks2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Lead customer projects delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Design and implement secure, scalable, end-to-end data architectures and applications.
- Guide customers through architecture, design, implementation, evaluation, and adoption of Databricks solutions.
- Work with customer stakeholders, Databricks engineering, product, support, project managers, and architects to deliver technical components and resolve issues.
- Embed with customer teams, manage technical scope and outcomes, and communicate with stakeholders ranging from technical contributors to executives.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the Databricks product roadmap.
Requirements
- At least 6 years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript, or TypeScript and work with modern frameworks.
- Working knowledge of at least two cloud ecosystems—AWS, Azure, or GCP—with expertise in at least one.
- Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Strong documentation and white-boarding skills, enterprise client experience, and experience managing conflicts across broad stakeholder groups.
- Curiosity, adaptability, and willingness to explore technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification is required.
Benefits
- Databricks offers comprehensive employee benefits and perks, with details varying by region.
- The role requires travel to customers 20% of the time.
Tech Stack
Categories
Data EngineeringForward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.