DataOps Engineering Manager - Real-Time Pipelines (Hybrid)

NICE Systems; Manila; Hybrid; PHP 2,000,000 - 3,500,000; Full time

Benefits offered by this job

NICE-FLEX hybrid model

Job summary

NICE Systems seeks an experienced Manager of Engineering to lead a globally distributed DataOps team responsible for data pipelines, real-time processing, and database operations. The role emphasizes SQL, Kafka, Flink, Airflow, and AWS, with remote collaboration across multiple time zones.

You will drive data governance, automation, and infrastructure reliability while partnering with engineering, analytics, and business teams to ensure accessible data and timely insights.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of DataOps/Data Engineering experience.
• Proven experience managing remote teams across multiple time zones.
• Strong proficiency in SQL and database management (e.g., Snowflake, SQL, NoSQL).
• 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.

Responsibilities

• 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.

Skills

DataOps leadership

Distributed team management

SQL proficiency

Database administration

Real-time data processing

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

Flink

Airflow

Snowflake

NoSQL databases

Job description

NICE Systems seeks an experienced Manager of Engineering to lead a globally distributed DataOps team responsible for data pipelines, real-time processing, and database operations. The role emphasizes SQL, Kafka, Flink, Airflow, and AWS, with remote collaboration across multiple time zones.

You will drive data governance, automation, and infrastructure reliability while partnering with engineering, analytics, and business teams to ensure accessible data and timely insights.