Databricks is hiring for Expert – AWS Platform (India/Remote)

Company: Databricks

Role: Expert – AWS Platform

Location: India / Remote

Experience Required: Typically 5+ Years (as per senior expert level)

Apply for Databricks Expert – AWS Platform

📌 Job Description

The Expert – AWS Platform at Databricks will be responsible for architecting, building, and optimizing robust data and analytics platforms on AWS using the Databricks Lakehouse Platform. This role typically focuses on designing scalable cloud data architectures, integrating AWS services with Databricks, and guiding high-performance data workflows across analytics & AI workloads.

• Lead AWS Databricks platform architecture and integrations across services such as S3, Redshift, Glue, Lambda, and IAM. ([turn0search12])
• Build and optimize data pipelines and ETL workflows to support analytics and AI use cases. ([turn0search12])
• Collaborate with engineering teams to streamline performance, security, and best practices on the Databricks AWS stack. ([turn0search12])
• Ensure efficient data storage, processing, and governance leveraging Lakehouse principles. ([turn0search12])
• Mentor and support mid-level engineers on cloud platform strategy and implementation. ([turn0search1])

Key Technical Areas (Typical for this Expert level):

• Deep expertise with AWS platform components and Databricks deployment models. ([turn0search12])
• Extensive AWS services experience (S3, IAM, Redshift, Glue, Lambda). ([turn0search13])
• Performance tuning for Spark data workloads and Delta Lake publications. ([turn0search12])
• Infrastructure as Code (IaC) usage (Terraform/CloudFormation) is advantageous. ([turn0search1])
• Data security, compliance, and cloud optimization strategies. ([turn0search12])

💰 Salary & Compensation

While exact salary details for this specific role are not publicly listed, compensation for senior Databricks engineers with strong cloud platform experience on AWS typically falls in a competitive range in India. Databricks data indicates that senior software and platform engineers can earn between approximately ₹28L – ₹46L per year, depending on experience, team, and skills. ([turn0search6])

Higher compensation packages (above ₹50 LPA) are also common for platform experts or architect-level roles, especially when specialized cloud, performance, and architectural responsibilities are involved. Total compensation may include bonuses, stock options, and other benefits per company policy. ([turn0search7])

🏢 About Databricks

Databricks is a leading data and AI company that provides the unified Databricks Lakehouse Platform — enabling thousands of organizations worldwide to unify data engineering, data science, and analytics workloads on a single cloud-native architecture. The platform integrates data processing, machine learning, and analytics directly on cloud storage like AWS S3, simplifying workflows and accelerating innovation. The company has been actively expanding its presence in India, investing significantly in R&D and local talent growth. :contentReference[oaicite:0]{index=0}

Databricks serves customers spanning finance, healthcare, retail, and more, including many Fortune 500 companies, and is widely adopted for building scalable, secure, and performance-oriented data solutions. :contentReference[oaicite:1]{index=1}

🌟 Company Culture & Environment

Databricks fosters an innovation-driven culture that values technical excellence, collaboration, and continuous learning. Employees often work on cutting-edge data solutions and collaborate across global teams to solve complex analytics and engineering challenges. The company places strong emphasis on data-driven decision-making, cross-team knowledge sharing, and community contributions through training programs and open-source engagements. :contentReference[oaicite:2]{index=2}

While Databricks is known for its high expectations and fast-paced environment, many professionals appreciate the opportunity to work with state-of-the-art technologies and directly influence data infrastructure and AI initiatives. :contentReference[oaicite:3]{index=3}

⭐ Pros & Cons for Job Seekers

✅ Pros:

• Work with a highly respected data platform leader that drives analytics and AI initiatives globally. :contentReference[oaicite:4]{index=4}
• Exposure to advanced cloud platform design and data engineering practices. :contentReference[oaicite:5]{index=5}
• Strong growth opportunities as the company invests in its India presence and technical talent. :contentReference[oaicite:6]{index=6}
• Competitive compensation packages with potential performance bonuses or equity. :contentReference[oaicite:7]{index=7}

❌ Cons:

• High technical expectations and responsibility, requiring broad experience in cloud and big data platforms. :contentReference[oaicite:8]{index=8}
• Workload intensity and pace can be demanding for some engineers. :contentReference[oaicite:9]{index=9}
• Salary ranges vary widely depending on team and experience level. :contentReference[oaicite:10]{index=10}

🧠 Preparation Tips for This Role

• Master AWS cloud services — especially storage, compute, IAM, and analytics services — as they integrate with Databricks. :contentReference[oaicite:11]{index=11}
• Gain deep expertise in Databricks platform features, Spark optimization, and Delta Lake architecture. :contentReference[oaicite:12]{index=12}
• Build experience around Infrastructure as Code tools like Terraform or CloudFormation for scalable platform deployments. :contentReference[oaicite:13]{index=13}
• Study real-world cloud platform use cases and data pipeline design patterns on AWS. :contentReference[oaicite:14]{index=14}
• Practice performance tuning, cost optimization, and security configurations for cloud data platforms. :contentReference[oaicite:15]{index=15}

📈 Industry Trends & Outlook

Cloud data platforms and analytics services on AWS are among the most in-demand skill areas for data engineering and AI initiatives. With Databricks’ investments and global expansion — especially in India — demand for experienced engineers and cloud platform experts continues to grow. Certifications in AWS, Databricks, and broader big data technologies often enhance employability and position candidates for senior technical roles. :contentReference[oaicite:16]{index=16}