Location: Remote / Hybrid
Client: Confidential
Job Type: Full time / Contract

Position Overview

We are seeking a highly experienced Senior Forward Deployed Engineer (FDE) to partner directly with customers, translating complex business requirements into scalable, production-ready data and AI solutions. This role combines hands-on engineering expertise with customer-facing consulting, requiring deep experience across Databricks, data engineering, cloud platforms, and Generative AI integrations.

The ideal candidate will have a proven track record delivering enterprise-scale data platforms and applications, while working closely with stakeholders to drive business outcomes.

Key Responsibilities

- Design, build, and migrate enterprise data platforms to Databricks.
- Develop scalable data pipelines, APIs, and data-driven applications.
- Deploy, monitor, and optimize production environments.
- Troubleshoot and resolve complex issues across the full technology stack.
- Collaborate directly with customer stakeholders to gather requirements and translate them into technical solutions.
- Architect end-to-end data solutions spanning ingestion, transformation, analytics, and application layers.
- Implement CI/CD pipelines and platform automation for scalability and reliability.
- Integrate Large Language Models (LLMs) and AI services into enterprise applications.
- Drive performance tuning, optimization, and governance initiatives across data platforms.
- Participate in architecture reviews and provide technical leadership to cross-functional teams.

Required Qualifications

Experience

- 10+ years of experience in Data Engineering, Analytics, Data Platforms, or related fields.
- Delivered a minimum of 6–8 enterprise-scale Databricks implementations with hands-on development responsibilities.
- Strong experience building and supporting production-grade data platforms.
- Proven customer-facing consulting or solution engineering experience.





Technical Skills

Databricks

- Deep expertise in Databricks Lakehouse architecture.
- Experience with Delta Lake, Unity Catalog, Workflows, MLflow, and Databricks SQL.
- Databricks Professional Certification preferred.

Data Engineering

- Advanced expertise in Apache Spark and distributed computing.
- Strong programming skills in Python, SQL, and Spark.
- Experience building and optimizing large-scale ETL/ELT pipelines.

Cloud Platforms

- Working knowledge of at least two major cloud platforms: Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP)
- Experience designing cloud-native data architectures.

AI & Machine Learning

- Hands-on experience integrating AI services and LLMs into applications.
- Familiarity with: OpenAI Anthropic Claude Google Gemini
- Understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks.

Dev Ops & Automation

- Experience with CI/CD pipelines and Infrastructure as Code.
- Familiarity with Git, Terraform, Azure Dev Ops, Git Hub Actions, or similar tools.

Preferred Qualifications

- Databricks Data Engineer Professional Certification.
- Experience leading customer workshops and architecture sessions.
- Strong understanding of data governance, security, and compliance frameworks.
- Experience building customer-facing applications utilizing AI and analytics.
- Prior consulting, professional services, or forward deployed engineering experience.

What Distinguishes a Forward Deployed Engineer

- Ability to transform ambiguous customer requirements into scalable production solutions.
- Expertise spanning the full Databricks ecosystem from ingestion through application delivery.
- Comfortable operating in high-visibility, mission-critical customer engagements.
- Strong blend of technical depth, business acumen, and stakeholder management.
- Ability to influence architecture decisions and drive measurable business outcomes.

📌 Sr. Forward Deployment Engineer - GET (India)
🏢 Experis
📍 India