DataOps Manager (Retail, AU, Hybrid)

ConnectOS; Manila; Hybrid; PHP 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Hybrid work model

Medical, Dental Coverage and Life ins.

Paid Vacation and Sick Leave

Competitive salary package and annual/

Financial Assistance Program

13th Month Pay

Regular Company Events and Career grow

Job summary

ConnectOS is seeking a DataOps leader to build, mentor and scale a high-performing offshore DataOps team in the Philippines. You will drive CI/CD, data pipelines, and observability, collaborating with business and technical stakeholders to ensure reliable data platforms.

You will lead incident triage, governance, and continuous improvement while mentoring engineers and coordinating across squads to align with organizational goals.

Qualifications

• Strong understanding of data management principles and practices, including data warehousing, data modelling, and data governance.
• Experience with data pipeline orchestration tools like Apache Airflow, Dagster, or Shipyard.
• Proficiency in data integration and ETL processes.
• Familiarity with CI/CD principles and practices.
• Excellent communication and collaboration skills.
• Strong problem-solving and analytical skills.
• Hands-on with data and software engineering practices.
• Familiarity with cloud platforms (AWS/Azure/GCP) and services for scalable data infrastructure.
• Understanding data privacy laws and compliance requirements.
• Proficient in scripting languages (Python) and automation tools.
• Implementing automated testing and monitoring to ensure data reliability.
• Managing infrastructure through code and automation.
• Collaborative and proactive in cross-functional teams.
• Driving continuous learning and improvement in data processes.

Responsibilities

• Lead and mentor a software engineering team, fostering a collaborative and high-performing environment.
• Ensure regular in-person engagement with team members for delivery challenges.
• Conduct regular 1:1 meetings and support professional development.
• Oversee end-to-end software development lifecycle from requirements to deployment.
• Provide visibility to senior management on delivery status, risks, and milestones.
• Manage multiple development workstreams aligned with revenue forecasts.
• Collaborate with product managers and stakeholders to align requirements with business needs.
• Coordinate with QA, infra, architecture for seamless delivery.
• Enforce best practices, coding standards, and QA per Totalmobile processes.
• Support team in resolving technical issues and ensure project success.
• Take overall responsibility for timely delivery and quality of the Organise product.
• Act as Scrum Master, driving Agile practices and improvement.

Skills

Data governance

Data warehousing

Data modelling

ETL

Airflow

Dagster

Shipyard

CI/CD practices

Cloud platforms

Python scripting

Automation

Testing & monitoring

Tools

GitLab

AWS

Azure

GCP

Job description

Key Areas of accountability

• Build, administer and support DataOps infrastructure using GitLab and AWS cloud.
• Build, administer and support DataOps CI/CD workflows providing process integration, automation and enhancement to enable cross-functional collaboration, shorten release cycles and improve system reliability.
• Provide subject matter expertise for developments and operational improvements in the Flybuys Data Platform through contributions to technical and business discussions and requirements and the creation of data transformation patterns and standards.
• Drive ongoing enhancements to the DataOps framework for our data engineering squad.
• Assist our QA team and suggest improvements for managing and automating test activities at various SDLC stages to improve quality.
• Work to ensure systems meet compliance standards and can be accepted to transition across to our support teams.
• Work with the team to prioritize competing requests from various squads to support the long-term development and vision of our DataOps capability.
• Ability to articulate and communicate with both business and technical stakeholders around the DataOps team and current work.
• Provide mentorship, coordination, reporting and escalation around DataOps performance, development and processes.
• Lead prioritization, coordination and triage of incidents, ad-hoc requests and other work items for the DataOps team.
• Lead Offshore DataOps engineers to build a high performing team
• Build or maintain Observability tools to validate the performance of the data platform and provide visibility to stakeholders.
• Any other accountability or deliverable as assigned from time to time by management

The Key Areas Of Accountability In The Role Are

• Build, administer and support DataOps infrastructure using GitLab and AWS cloud.
• Build, administer and support DataOps CI/CD workflows providing process integration, automation and enhancement to enable cross-functional collaboration, shorten release cycles and improve system reliability.
• Provide subject matter expertise for developments and operational improvements in the Flybuys Data Platform through contributions to technical and business discussions and requirements and the creation of data transformation patterns and standards.
• Drive ongoing enhancements to the DataOps framework for our data engineering squad.
• Assist our QA team and suggest improvements for managing and automating test activities at various SDLC stages to improve quality.
• Work to ensure systems meet compliance standards and can be accepted to transition across to our support teams.
• Work with the team to prioritize competing requests from various squads to support the long-term development and vision of our DataOps capability.
• Ability to articulate and communicate with both business and technical stakeholders around the DataOps team and current work.
• Provide mentorship, coordination, reporting and escalation around DataOps performance, development and processes.
• Lead prioritization, coordination and triage of incidents, ad-hoc requests and other work items for the DataOps team.
• Lead Offshore DataOps engineers to build a high performing team
• Build or maintain Observability tools to validate the performance of the data platform and provide visibility to stakeholders.
• Any other accountability or deliverable as assigned from time to time by management

Requirements

• Strong understanding of data management principles and practices, including data warehousing, data modelling, and data governance.
• Experience with data pipeline orchestration tools like Apache Airflow, Dagster, or Shipyard.
• Proficiency in data integration and ETL processes.
• Familiarity with CI/CD principles and practices.
• Excellent communication and collaboration skills.
• Strong problem-solving and analytical skills.
• A desire to stay hands-on and connected to data and software engineering practices.
• Familiarity with cloud platforms (like AWS, Azure, or GCP) and their services is crucial for building scalable and reliable data infrastructure.
• Understanding data privacy laws, regulatory requirements, and ensuring data handling within the organization complies with these standards.
• Proficient in scripting languages (Python, etc.) and automation tools to streamline data pipelines and workflows.
• Implementing automated testing and monitoring to ensure data accuracy and reliability.
• Managing infrastructure through code, enabling automation and reproducibility.
• Collaboration and Communication: Fostering a collaborative environment between data engineers, scientists, and business analysts.
• Problem-Solving and Critical Thinking: Analyzing complex issues, identifying bottlenecks, and developing effective solutions.
• Driving a culture of continuous learning and improvement in data processes.
• Effectively communicating technical information to both technical and non-technical audiences.
• Utilizing data to make informed decisions and drive business outcomes.
• Lead prioritization, coordination and triage of incidents, ad-hoc requests and other work items for the DataOps team.

What will you do?

• Lead and mentor a software engineering team, fostering a collaborative and high-performing environment.
• Ensure regular in-person engagement with team members in order to closely collaborate around delivery challenges
• Conduct regular 1:1 meetings, set clear objectives, and support professional development for team members.
• Oversee the end-to-end software development lifecycle, from requirements gathering, design to deployment.
• Provide visibility to senior management on delivery status, risks, issues and milestones.
• Manage multiple development workstreams, ensuring alignment with revenue forecasts.
• Work closely with product managers, stakeholders, and cross-functional teams to align technical requirements with business needs.
• Collaborate with quality assurance, infrastructure, architecture and other departments for seamless delivery execution.
• Implement and enforce best practices, coding standards, and quality assurance, in line with Totalmobile standard processes.
• Support the team in resolving technical issues and making informed decisions to ensure project success.
• Assume overall responsibility for the timely delivery and quality of the Organise product
• Act as a Scrum Master, driving Agile practices and continuous improvement initiatives.

Join the awesome team and enjoy these benefits & perks:

• Hybrid
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Regular Company Events, Work Life Balance, and Career growth opportunities

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

Our client is culture fosters creativity and expertise among our team members, enabling them to provide exceptional care for our clients. By creating a dynamic and supportive environment, we empower our employees to excel, leading to outstanding results for our clients. Through continuous learning, collaboration, and a passion for innovation, we encourage our team to exceed client expectations with every interaction.

Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.