Manager, Engineering, Data, CX

Nice

Philippines

On-site

PHP 3,685,503 - 4,914,004

Full time

14 days+

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Job summary

Nice is seeking an experienced Manager, Engineering in the Philippines to lead a globally distributed team focused on optimizing and managing data pipelines and real-time data processing. Candidates should have strong technical expertise in SQL, databases, Kafka, Flink, and AWS, alongside experience in managing remote teams. The role involves overseeing scalable data pipeline design, ensuring data integrity, and collaborating across teams. Join Nice in fostering innovation and efficiency in DataOps processes.

Qualifications

  • Experience managing and leading remote teams across multiple time zones.
  • Strong proficiency in SQL and database management.
  • Expertise in real-time data processing technologies like Kafka and Flink.

Responsibilities

  • Lead and mentor a distributed DataOps team.
  • Oversee the design, development, and maintenance of scalable data pipelines.
  • Manage and optimize database operations.

Skills

SQL
Databases
Kafka
Flink
Airflow
AWS
Remote team management

Education

Bachelor’s degree in Computer Science, Engineering, or related field
5+ years of experience in DataOps or Data Engineering

Tools

AWS Cloud

Job description

So, what’s the role all about?

We are seeking an experienced Manager, Engineering to lead a globally distributed team responsible for optimizing and managing data pipelines, real‑time data processing, and database operations. The ideal candidate will have strong technical expertise in SQL, databases, Kafka, Flink, Airflow, and AWS, along with experience in managing remote teams across multiple time zones.

How will you make an impact?
  • Lead and mentor a distributed DataOps team, ensuring high performance and collaboration across different regions.
  • Oversee the design, development, and maintenance of scalable data pipelines and streaming applications.
  • Manage and optimize database operations, ensuring data integrity, performance, and security.
  • Implement and maintain real‑time data processing workflows using Kafka and Flink.
  • Collaborate with engineering, analytics, and business teams to ensure seamless data flow and accessibility.
  • Develop and enforce best practices for data governance, monitoring, and observability.
  • Drive automation and efficiency improvements in DataOps processes.
  • Ensure high availability, reliability, and performance of data infrastructure.
  • Manage project timelines, resource allocation, and stakeholder expectations.
Have you got what it takes?
  • Bachelor’s degree in Computer Science, Engineering, or a related field, OR 5+ years of experience in DataOps, Data Engineering, or a related field.
  • Proven experience managing and leading remote teams across multiple time zones.
  • Strong proficiency in SQL and database management (e.g., Snowflake, SQL, NoSQL databases).
  • Expertise in real‑time data processing technologies such as Kafka and Flink.
  • Experience with Airflow for workflow orchestration.
  • Experience with cloud‑based data platforms, particularly AWS.
  • Familiarity with infrastructure‑as‑code and automation tools.
Preferred Qualifications:
  • Experience working in a fast‑paced, globally distributed environment.
  • Knowledge of CI/CD pipelines for data workflows.
  • Understanding of data security and compliance best practices.

This job description is not intended to be all‑inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required.

This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.

Requisition ID: 10613

Reporting into: Manager, Network Operations

Role Type: Individual Contributor

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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