Data Engineering Manager

Technical Manager – Data Engineering & Cloud Platforms

We are looking for an experienced Technical Manager to lead high-performing engineering teams responsible for building, modernizing, and operating large-scale global data platforms. This is a hands-on leadership role that combines strong technical expertise, people management, and delivery ownership to drive secure, scalable, and cloud-native solutions on Google Cloud Platform (GCP).

The ideal candidate will partner closely with architects, product managers, security teams, and business stakeholders to transform technical vision into high-quality execution while ensuring engineering excellence, operational reliability, and continuous innovation.

Key Responsibilities
Technical Leadership
Lead the design and development of robust ETL/data pipelines with a strong focus on data reliability, scalability, and accuracy.
Implement monitoring, observability, and alerting mechanisms to ensure data quality and freshness.
Drive the development of data services and backend platforms using modern engineering practices.
Build and manage cloud-native solutions leveraging Google Cloud Platform (GCP), including Big Query and related data services.
Ensure adoption of engineering best practices including:
CI/CD pipelines
Automated testing
Containerization using Docker
Kubernetes/GKE deployments
Own delivery commitments and ensure timely, high-quality execution using Agile and Dev Ops methodologies.
Collaborate with security and compliance teams to embed privacy, security, and regulatory requirements (GDPR, LGPD, etc.) into engineering processes.
Participate in architecture discussions, design reviews, and code reviews to maintain high technical standards.
Work closely with product and business stakeholders to convert requirements into scalable technical solutions and delivery roadmaps.
Continuously improve system performance, reliability, scalability, and operational health across production environments.

People & Team Leadership
Lead, mentor, and develop software engineers and technical leads.
Foster a culture of collaboration, accountability, innovation, and continuous improvement.
Support career development through coaching, feedback, and performance management.
Drive adoption of modern software engineering and quality practices across teams.
Act as an escalation point for technical and delivery challenges, ensuring effective resolution while maintaining team productivity and morale.

Required Skills & Experience
Bachelor’s degree in Computer Science or equivalent practical experience.
15+ years of overall software development experience with strong exposure to data platforms.
5+ years of experience leading or managing data engineering teams.
Strong backend development experience using Java and Spring Boot.
Hands-on expertise with ETL pipeline development and data governance practices.
Experience working with:
Relational databases:
MySQL, Oracle, PostgreSQL
No

SQL databases:
MongoDB
Practical experience with Google Cloud Platform (GCP), including services such as:
GKE
Big Query
Cloud SQL
Pub/Sub
Apigee

Experience with CI/CD and Dev Ops tools such as Git Lab, Jenkins, and ArgoCD.
Strong understanding of containerization and Kubernetes-based deployments.
Knowledge of SaaS security, privacy, and compliance best practices.
Exposure to Agentic AI development is a plus.

Preferred Skills
SQL query performance tuning and optimization.
Data modeling expertise.

Experience with scalable cloud-based data architectures.

Certifications (Preferred)
Cloud certifications in GCP, AWS, or Azure.

Key Competencies
Technical leadership and engineering execution
Cloud-native architecture implementation
Problem-solving and analytical thinking
Strong communication and stakeholder management
Cross-functional collaboration
Agile and Dev Ops mindset
Innovation and continuous improvement orientation