Data Platform Engineering Manager

4 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview:

We are seeking a seasoned data platform leader to helm our high-performing team of engineers and developers. The ideal candidate combines strong leadership skills with deep technical expertise in cloud-native data infrastructure, ETL pipelines, IaC, DevOps, and unstructured data lake design.

Your Key Responsibilities:

Leadership & Team Development

  • Lead, coach, and grow a team of 8-12 data engineers and platform engineers.
  • Conduct performance reviews, career development planning, and mentoring.
  • Align team efforts with product roadmap and business objectives.
  • Foster a strong engineering culture around ownership, collaboration, and innovation.

Engineering Execution

  • Architect and scale data platform infrastructure, ensuring it supports growth, security, and performance expectations.
  • Guide development of scalable ETL/ELT pipelines, real-time streaming data integrations (Kafka), and unstructured data lake solutions.
  • Promote Infrastructure-as-Code (IaC) using tools like Terraform or CloudFormation.
  • Work closely with DevOps to integrate CI/CD pipelines, enable automation, and maintain containerized environments using Docker and Kubernetes.
  • Ensure full adherence to security, governance, and regulatory requirements.

Strategic Collaboration

  • Act as a key liaison between engineering and cross-functional partners including Product Management, Architecture, QA, UX, and DevOps teams globally.
  • Collaborate on planning, prioritization, release readiness, and roadmap alignment.
  • Manage risks, dependencies, and communicate updates to leadership.

Quality & Process Management

  • Ensure team delivers high-quality, well-tested, and secure data solutions.
  • Implement coding standards, technical documentation, and continuous improvement practices.
  • Track sprint velocity, monitor OKRs, and lead post-mortems when needed.

Requirements

- 10-15 years of total experience in data engineering, platform engineering, or cloud architecture.

- 3+ years of experience leading high-performing teams in a cloud-native, fast-paced product organization.

- Strong technical skills with:

1. Cloud & Data Infrastructure: AWS (S3, Redshift, Glue, Lambda, EMR), Kafka

2. Languages & Tools: Python, SQL, dbt, Terraform (or similar), Docker, GitHub Actions, Jenkins

3. Data Platforms: Snowflake, Airflow, Lakehouse Architecture

- Unstructured Data: Experience working with queryable unstructured data lake stores

- Familiarity with CI/CD pipelines, containerization, and cloud cost optimization.

- Experience with multi-tenant SaaS platforms or global enterprise data environments.

Desirable Qualifications

- Prior experience working in regulated industries or on platforms with high data privacy requirements.

- Exposure to data governance frameworks and modern data stack technologies.

- Agile methodology expertise with tools like Jira, Confluence, and GitLab.

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