Senior Data Operations and Cloud Platform Engineer, AVP

4 days ago


Pasig, National Capital Region, Philippines Michael Page Full time
  • Competitive Compensation Package
  • Growth Opportunities

About Our Client

Fast growing digital bank.

Job Description

Data Operations & Engineering

  • Develop, optimize, and maintain data pipelines, ensuring efficiency and scalability.
  • Ensure data quality, integrity, and governance across multiple systems and platforms.
  • Oversee the management of big data environments (Hadoop, Spark) to support analytics and reporting.
  • Work closely with data scientists, analysts, and business teams to provide reliable data infrastructure.

Cloud Platform Management & Optimization

  • Design, deploy, and manage cloud-based data infrastructure on AWS, Azure, or GCP.
  • Implement best practices for cloud security, cost optimization, and resource management.
  • Oversee the automation of infrastructure provisioning and configuration management using tools like Ansible, Chef, or Puppet.
  • Manage and optimize cloud data services, including relational and NoSQL databases.

DevOps & Automation

  • Lead CI/CD pipeline development for data workflows and cloud applications.
  • Automate data processing and cloud infrastructure management using scripting languages (Python, Java, Scala).
  • Implement monitoring and alerting solutions to ensure system reliability and performance.
  • Maintain a containerized deployment environment using Docker and Kubernetes for scalable data applications.

Team Leadership & Collaboration

  • Work closely with cross-functional teams to align cloud data solutions with business objectives.
  • Provide technical mentorship and leadership to junior engineers.
  • Communicate complex technical concepts to non-technical stakeholders in an understandable manner.
  • Foster a culture of continuous learning and innovation within the engineering team.

Governance, Compliance & Industry Best Practices

  • Ensure adherence to data governance policies, regulatory compliance (GDPR, HIPAA, etc.), and security best practices.
  • Stay updated on industry trends and emerging technologies in data engineering, cloud computing, and DevOps.
  • Develop strategies for disaster recovery, backup, and high availability of cloud-based data solutions.

The Successful Applicant

  • Proficiency in programming languages such as Python, Java, or Scala.
  • Expertise in big data technologies like Hadoop, Spark, and distributed computing frameworks.
  • Strong knowledge of relational (SQL) and NoSQL databases, as well as data warehousing solutions.
  • Experience with cloud platforms (AWS, Azure, GCP) and their data services.
  • Familiarity with containerization (Docker) and orchestration tools (Kubernetes).
  • Strong understanding of DevOps principles and experience with automation tools (Ansible, Chef, Puppet).
  • Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.
  • Ability to manage multiple projects, prioritize tasks effectively, and deliver within deadlines.

What's on Offer

Be part of a fast-growing digital bank

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