Engineering Manager - Data (GCP / Azure)

We are looking for an experienced Engineering Manager - Data Engineering to lead the design, development, and delivery of scalable, secure, and high-performance data platforms and solutions. The ideal candidate will have strong hands-on expertise in Google Cloud Platform (GCP) and/or Microsoft Azure, modern data engineering technologies, and proven experience managing and mentoring high-performing engineering teams. This role requires a strong combination of technical leadership, people management, architecture, and delivery ownership.

Responsibilities:

• Lead and manage a team of Data Engineers, providing technical guidance, mentoring, and career development.
• Define the technical vision, architecture, and roadmap for scalable enterprise data platforms.
• Design and build robust batch and real-time data pipelines using modern cloud technologies.
• Drive the adoption of best practices around data engineering, data quality, security, governance, and observability.
• Architect and implement cloud-based data solutions on GCP and/or Azure.
• Work closely with Product, Engineering, Analytics, Data Science, and Business teams to translate requirements into scalable technical solutions.
• Ensure high availability, scalability, reliability, and performance of data platforms.
• Drive engineering excellence through code reviews, design reviews, testing, CI/CD, and automation.
• Manage project planning, execution, resource allocation, risks, and delivery timelines.
• Establish reusable frameworks, standards, and best practices across the Data Engineering organisation.
• Drive cloud modernisation and migration initiatives involving data platforms and applications.
• Collaborate with senior leadership and stakeholders on technology strategy and execution.

Requirements:

• 12-17 years of overall experience in Software Engineering and Data Engineering.
• Minimum 3-5 years of experience leading and managing Data Engineering teams.
• Strong hands-on experience with GCP and/or Azure cloud platforms.
• Experience designing and building large-scale, distributed data platforms.

GCP Experience:

Strong experience with technologies such as:

• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Composer
• Cloud Functions / Cloud Run
• IAM and cloud security

Azure Experience:

Experience with technologies such as:

• Azure Data Factory (ADF)
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Event Hubs / Service Bus
• Azure Functions
• Microsoft Fabric (preferred)

Technical Skills:

• Strong programming experience in Python, Java, or Scala.
• Strong expertise in SQL and data modelling.
• Hands-on experience with Apache Spark and distributed data processing.
• Experience building ETL/ELT pipelines and data integration solutions.
• Good understanding of streaming technologies such as Kafka, Pub/Sub, or Event Hubs.
• Experience with workflow orchestration tools such as Airflow / Cloud Composer.
• Knowledge of modern Data Lake, Data Warehouse, and Lakehouse architectures.
• Experience with CI/CD, DevOps, Infrastructure as Code, and automation.
• Hands-on experience with tools such as Terraform or equivalent IaC frameworks.
• Strong understanding of data security, governance, access management, and compliance.

Leadership Expectations:

• Proven experience managing and scaling engineering teams.
• Ability to balance hands-on technical involvement with people and delivery management.
• Strong stakeholder management and communication skills.
• Experience working in Agile/Scrum environments.
• Ability to drive technical decisions and influence architecture across multiple teams.
• Strong problem-solving and decision-making abilities.

Preferred Qualifications:

• Experience working on large-scale enterprise or product-based data platforms.
• Experience with multi-cloud or cloud migration initiatives.
• Knowledge of Data Mesh, Data Fabric, or modern data platform architecture.
• Experience supporting Data Science, Machine Learning, or AI workloads.
• Cloud certifications in GCP and/or Microsoft Azure will be an added advantage.