Principal Data Engineer

Amadeus; Maharashtra; On-site; INR 5,000,000 - 7,500,000; Full time

Job summary

Amadeus is seeking a Principal Data Engineer to lead a high‑performing data engineering team. The role focuses on designing, building, and maintaining scalable data architectures, ETL pipelines, and data processing systems across cloud and on‑prem environments to meet customer needs and business objectives.

The ideal candidate will drive technical excellence, operational efficiency, and cross‑functional collaboration while advancing AI-powered data solutions and modernization initiatives.

Qualifications

• Experience leading data engineering teams at scale.
• Proven ability to design scalable data architectures and ETL pipelines.
• Strong knowledge of cloud and on‑prem data platforms.

Responsibilities

• Lead and mentor a data engineering team with high delivery standards.
• Drive AI adoption and AI-assisted development within the team.
• Oversee design, build, and maintenance of data pipelines and platforms.
• Ensure system reliability, performance, and scalability across cloud/on‑prem environments.
• Collaborate with product, development, and operations across time zones.

Skills

Big Data

Python

SQL

ETL

Databases

Unix/Shell

JSON/API integrations

MDM

Cloud platforms

Data migration

Event streaming

Tools

Databricks

Apache Airflow

Kubernetes

Apache Spark

Apache Druid

Couchbase

Azure Synapse

Stambia

Job description

Principal Data Engineer

The Data Engineering Manager / Team Lead will lead a high-performing data engineering team in a large-scale, fast-paced environment, managing both cloud and on-premise data platforms. This role is responsible for designing, building, and maintaining scalable data architecture, ETL pipelines, and data processing systems aligned with customer needs and business objectives. This leader will drive technical excellence, operational efficiency, innovation, and AI adoption while managing delivery, people, and cross-functional collaboration.

Core Responsibilities

Leadership & Team Management

• Lead and mentor a data engineering team, ensuring high technical and delivery standards.
• Manage team capacity, delegation, sprint/user story assignments, and backlog prioritization.
• Provide technical coaching, code reviews, and guidance to engineers and senior specialists.
• Drive adoption of AI agents and AI-assisted development/documentation across the team.
• Deliver regular status updates, including weekly burndown and progress reporting.

Data Engineering & Architecture

• Design, develop, and maintain scalable data pipelines, ETL workflows, and data architecture.
• Build programs for data ingestion, transformation, validation, and integration.
• Support migration of legacy/on-prem data systems to cloud data platforms.
• Work with structured and unstructured data across multiple formats.

Cloud & Modern Data Platform Engineering

• Lead modernization initiatives across cloud-native platforms, with emphasis on:Azure CloudDatabricksAirflow / Azure Data Factory / Synapse PipelinesEvent-driven data systems (Kafka / Event Hub)

Operational Excellence

• Manage production data processes and respond to incidents/issues.
• Ensure system reliability, performance, and scalability.
• Monitor infrastructure utilization:CPUMemoryStorageNetwork
• Improve processes and reduce operational inefficiencies.

Strategic & Cross-Functional Collaboration

• Translate business requirements into technical solutions.
• Work effectively across multiple time zones and distributed teams.
• Collaborate with Product, Development, Operations, and Customer Support teams.
• Communicate risks, dependencies, blockers, and mitigation plans to leadership.

Technical Requirements

Required Skills

• Big Data Engineering / Data Platform Management
• Python for ETL, orchestration, and automation
• Advanced SQL development and performance tuning
• ETL development and orchestration
• Database development (Oracle, MySQL, PostgreSQL, SQL Server)
• UNIX / Shell scripting
• JSON / API-based integrations
• Master Data Management (MDM)
• Cloud platforms (Azure preferred)
• Data migration to cloud platforms
• Event streaming / messaging systems:KafkaAzure Event HubSimilar queuing systems

Preferred Skills

• Databricks (Highly Preferred)
• Apache Airflow
• Kubernetes
• Apache Spark
• Apache Druid
• Couchbase / NoSQL databases
• Azure Synapse
• Stambia
• Agile delivery methodologies

Key Leadership Expectations

The Ideal Candidate Should Demonstrate

• Strong technical decision-making capability
• Ability to solve complex data engineering problems
• High ownership with minimal supervision
• Strong stakeholder management and communication skills
• Ability to balance strategic vision with hands-on technical leadership
• Confidence to make independent decisions and guide architecture direction

Key Accountabilities

• Perform database integrity checks and corrective actions
• Maintain operational procedures and documentation
• Ensure external vendors/service providers meet SLA commitments
• Support customer onboarding and product activation
• Troubleshoot functional and operational issues
• Coordinate with Product, Help Desk, Operations, and Development teams for escalations
• Prepare database correction requests and operational checklistsMonitor customer satisfaction and address service issues proactively

Ideal Candidate Profile

A successful candidate is a hands-on technical leader with strong experience in modern data engineering, cloud migration, AI-enabled automation, and team leadership, capable of driving both strategic transformation and operational excellence.

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation,age, beliefs, disability or any other characteristics protected by law.

Be aware of recruitment scams

Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.