Databricks AWS Engineer - Vice President

Citi; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Citi is seeking a highly skilled Senior Databricks Engineer to drive the modernization of the data processing platform on Databricks on AWS. You will enhance performance, simplify pipelines, and deliver new capabilities on the Databricks platform.

The ideal candidate has over 10 years of experience in data engineering, strong expertise in Apache Spark and Databricks on AWS, and the ability to translate architecture into designs. Join Citi and contribute to impactful data solutions.

Qualifications

• 10+ years in data engineering or distributed systems.
• Experience modernizing or refactoring legacy data platforms into cloud‑based architectures.
• Strong background in Spark performance tuning.

Responsibilities

• Refactor and modernize existing Spark pipelines.
• Build solutions using Databricks features like Delta Lake.
• Analyze and improve Spark job performance.

Skills

Apache Spark (JavaSpark / PySpark)

Databricks on AWS

Delta Lake

AWS services

Distributed systems

Education

Bachelor’s degree/University degree

Job description

We are looking for a highly skilled Senior Databricks Engineer to contribute to the engineering, modernization, and continuous evolution of the data processing platform on Databricks on AWS. While supporting the transition from the legacy Cloudera Hadoop platform to Databricks on AWS, this role will continue to play a key part in enhancing performance, simplifying pipelines, and delivering new capabilities on the Databricks platform over the long term.

Responsibilities

• Platform Engineering & Modernization
• Refactor and modernize existing Spark pipelines to Databricks native architectures
• Eliminate legacy Hadoop dependencies and adopt cloud native AWS patterns
• Enhance and extend existing processing logic using optimized Spark (JavaSpark / PySpark) on Databricks
• Databricks Native Development
• Build and optimize solutions using Databricks features, including Delta Lake, Databricks Workflows for orchestration, and Auto‑scaling and job clusters
• Design & Solution Engineering
• Contribute to low and mid‑level architecture and design
• Translate high level architecture into detailed technical designs
• Define data models, pipeline patterns, and reusable components
• Ensure solutions are scalable, maintainable, and production‑ready
• Performance Optimization & Simplification
• Analyze, improve Spark job performance and simplify complex or over‑engineered pipelines into standardized, efficient patterns
• Engineering Standards & Best Practices
• Follow and contribute to Databricks and Spark engineering standards
• Write clean, modular, and testable code
• Contribute to shared frameworks, reusable libraries, and quality standards
• Collaboration & Stakeholder Engagement
• Work closely with senior architects, platform teams, and DevOps engineers
• Provide technical inputs, troubleshooting support, and implementation guidance
• Participate in design discussions and technical decision‑making
• Testing & Quality Assurance
• Develop unit, integration, and data validation tests
• Support production releases and post‑deployment validation

Qualifications

Core Technical Skills

• 10+ years in data engineering or distributed systems
• Strong expertise in Apache Spark (JavaSpark / PySpark), Databricks on AWS, and Delta Lake
• Experience with AWS services and large‑scale distributed data processing

Modernization & Optimization Experience

• Experience modernizing or refactoring legacy data platforms into cloud‑based architectures
• Strong background in Spark performance tuning and large‑scale batch optimization

Design Capability

• Ability to translate architecture into implementable designs
• Understanding of data modeling and pipeline orchestration patterns

Behavioral Competencies

• Strong problem‑solving mindset for complex distributed systems
• Comfortable working in time‑bound, high‑impact environments
• Proactive, accountable, and collaborative
• Clear communication skills across global teams

Education

Bachelor’s degree/University degree or equivalent experience

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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