Sr. Forward Deployment Engineer

Experis Technology Group; Bengaluru; Hybrid; INR 4,000,000 - 7,500,000; Full time

Job summary

Experis Technology Group is seeking a Senior Forward Deployed Engineer to partner with customers, translating complex business requirements into scalable data and AI solutions. The role combines hands-on data engineering with customer-facing consulting across Databricks, cloud platforms, and LLM integrations.

The ideal candidate has 10+ years in data engineering, a track record of enterprise Databricks implementations, and strong experience in production-grade data platforms and solution

Qualifications

• 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.

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 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.

Skills

Databricks

Data engineering

Python

Spark

AI integrations

CI/CD

Architecting data solutions

Tools

Terraform

Git

Azure DevOps

GitHub Actions

Job description

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.
• DevOps & Automation: Experience with CI/CD pipelines and Infrastructure as Code. Familiarity with Git, Terraform, Azure DevOps, GitHub 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.