Data Engineering Manager

Deutsche Telekom Digital Labs; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Deutsche Telekom Digital Labs seeks an experienced Engineering Manager - Data Platform to lead the design and development of cloud-native data platforms. You'll mentor engineers and ensure the platforms support millions of users while driving technical excellence.

The ideal candidate has 11+ years of data engineering experience, strong expertise in AWS/GCP technologies, and proven leadership in B2C/D2C organizations.

Qualifications

• 4+ years of engineering management experience.
• 11+ years overall software/data engineering experience.
• Experience managing teams of 10-20+ engineers.
• Strong architectural and system design expertise.

Responsibilities

• Lead and mentor a team of Data Engineers, Software Engineers, and Tech Leads.
• Design, develop, and scale cloud-native data platforms on AWS or GCP.
• Drive engineering best practices including code quality, CI/CD, testing, and automation.

Skills

AWS

GCP

Python

Java

SQL

Docker

Kubernetes

Terraform

Kafka

Spark

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

MongoDB

Datadog

Grafana

Prometheus

CloudWatch

Job description

We are looking for an experienced Engineering Manager - Data Platform to lead the design, development, and scaling of modern cloud-native data platforms. The ideal candidate should have a strong engineering background, hands‑on expertise in AWS/GCP data technologies, and proven experience leading high‑performing engineering teams in fast‑paced B2C/D2C product organisations. This role requires a leader who can drive technical excellence, mentor engineers, and build scalable, reliable, and secure data platforms supporting millions of users.

Responsibilities

• Lead and mentor a team of Data Engineers, Software Engineers, and Tech Leads.
• Design, develop, and scale cloud-native data platforms on AWS or GCP.
• Own architecture decisions for batch, streaming, and real‑time data pipelines.
• Build highly available, fault‑tolerant, and scalable data infrastructure.
• Drive engineering best practices including code quality, CI/CD, testing, observability, and automation.
• Partner with Product, Analytics, Data Science, and Business teams to deliver data‑driven solutions.
• Optimise data processing performance and cloud infrastructure costs.
• Ensure platform security, governance, and compliance standards.
• Establish engineering metrics, sprint planning, and agile delivery practices.
• Hire, coach, and retain top engineering talent.

Requirements

• Strong technical leader with hands‑on engineering expertise.
• Experience building platforms handling high‑volume consumer data.
• Passion for solving complex scalability and performance challenges.
• Excellent communication and stakeholder management skills.
• Proven ability to build and lead high‑performing engineering teams.
• Cloud Platforms: Strong hands‑on experience with AWS or GCP. Experience with cloud‑native architectures.
• Data Technologies: Data Lake, Data Warehouse, ETL/ELT Pipelines, Batch & Streaming Processing, Kafka/PubSub/Kinesis, Spark, Airflow/Cloud Composer, BigQuery/Redshift/Snowflake, S3/GCS.
• Programming: Python, Java or Scala, SQL.
• Databases: PostgreSQL, MySQL, MongoDB, Cassandra (Good to have).
• DevOps: Docker, Kubernetes, Terraform, Jenkins/GitHub Actions, CI/CD.
• Monitoring: Prometheus, Grafana, CloudWatch, Datadog.

Leadership Expectations

• 4+ years of engineering management experience.
• Managed teams of 10-20+ engineers.
• Strong stakeholder management skills.
• Experience driving large‑scale engineering programs.
• Excellent people management and mentoring capabilities.
• Strong architectural and system design expertise.

Mandatory Requirements

• 11+ years of overall software/data engineering experience.
• Strong experience in B2C/D2C or Consumer Internet product companies.
• Hands‑on experience building large‑scale cloud data platforms.
• Expertise in AWS or GCP.
• Strong experience with distributed systems and scalable architectures.
• Experience managing engineering teams.
• Strong coding experience in Python and Java/Scala.
• Bachelor's degree in Computer Science or related field from a reputed institute.
• Preferred Background: Candidates from leading product companies such as: Google, Amazon, Flipkart, Swiggy, Zomato, PhonePe, Meesho, Myntra, Razorpay, Dream11 Groww, CRED, JioHotstar, Porter, Zepto, Blinkit, Expedia, Walmart Global Tech, Adobe, Microsoft.

Nice to Have

• Experience with real‑time analytics platforms.
• Machine Learning or AI data platform exposure.
• Data governance and data quality frameworks.
• Multi‑cloud architecture experience.
• Experience handling petabyte‑scale data platforms.