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Lead Data Platform Engineer /Data Platforms & Cloud Engineering

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Hybrid

Lead Data Platform Engineer /Data Platforms & Cloud Engineering

Hiresquad

Lead Data Platform Engineer /Data Platforms & Cloud Engineering

Skills

SQL QueriesMongoDBDockerPythonPostgreSQLMySQLKafkaSnowflakeKubernetesOracleApache Airflow

5 days ago

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Important information


Contract type:

Permanent

Salary:

₹5,500,000 – ₹7,500,000 / year

Location:

Chennai, Tamil Nadu, India

Work mode:

Hybrid

Published on:

14 October 2026

What they need


Lead Data Platform Engineer
Location: Pune / Chennai (Hybrid)

We are looking for an experienced Lead Data Platform Engineer to drive the architecture, modernization, and evolution of enterprise-scale data platforms. This role will own key technical decisions, build scalable cloud-first data solutions, mentor senior engineers, and define best practices across the Data Engineering organization.

Key Responsibilities:

  • Lead data platform architecture and modernization initiatives across multiple domains.
  • Design and implement highly scalable data platforms supporting multi-TB workloads.
  • Drive cloud-native architectures, Infrastructure as Code, GitOps, and platform reliability.
  • Build real-time data solutions using Kafka, stream processing, and event-driven architectures.
  • Define engineering standards, security frameworks, observability, and performance practices.
  • Mentor senior engineers and collaborate with engineering leaders on technical strategy.
  • Lead complex troubleshooting, incident management, and continuous platform improvements.

Required Skills & Experience:

  • 1015+ years of experience in Data Platform Engineering or related roles.
  • Strong expertise in SQL, Python, and software engineering principles.
  • Hands-on experience with databases like Snowflake, PostgreSQL, MySQL, Oracle, MongoDB, DynamoDB.
  • Strong experience with Kafka ecosystem, Kubernetes, Docker, Airflow/Prefect/Dagster.
  • Expertise in cloud platforms, Infrastructure as Code, GitOps, and distributed systems.
  • Experience designing platforms handling large-scale data workloads and enterprise users.
  • Knowledge of legacy data technologies like Oracle, SQL Server, Informatica, SSIS is preferred.
  • Strong leadership, architecture, and stakeholder management skills.

Interested candidates can share their updated CV at:
[email protected]

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