Data Engineer Lead

VITRO, Inc.; Makati; On-site; PHP 4,000,000 - 8,000,000; Full time

Job summary

VITRO, Inc. is seeking a senior data and technology leader to shape enterprise data strategy, governance, and AI-enabled workflows.

You will drive the data warehouse modernization, API strategy with MuleSoft, and cross-functional teams delivering secure, scalable data and applications across the organization. You will lead data governance, cloud-based platforms, and AI initiatives while ensuring security, privacy, and value realization for business stakeholders.

Qualifications

• Bachelors or higher in IT/CS/Engineering or related field.
• 10+ years of progressive IT, data or integration experience.
• 5+ years in a leadership/management role.
• Proven experience in data warehouses, ETL/ELT, APIs, and dev teams.
• Experience in digital transformation, data modernization, or AI initiatives.
• Cloud, Agile, DevSecOps, and enterprise architecture exposure.
• Experience managing vendors, budgets, and cross-functional teams.
• Strong knowledge of Microsoft Fabric and data modeling concepts.
• Familiarity with data quality, metadata, lineage, and MDM.
• Experience with MuleSoft Anypoint Platform and API security.

Responsibilities

• Develop and implement enterprise data strategy aligned with business and technology.
• Establish data governance standards and operating models across data lifecycle.
• Ensure data is accurate, secure, accessible, and reliable for business use.
• Promote data-driven culture with trusted data, analytics, and AI insights.
• Lead architecture and improvement of data warehouse using Microsoft Fabric.
• Oversee scalable ETL/ELT pipelines and data integration across systems.
• Set standards for data modeling, testing, deployment, and monitoring.
• Drive modernization of legacy data platforms and processes.
• Lead API strategy, architecture, governance, and MuleSoft delivery.
• Design and manage secure, reusable APIs and API security standards.
• Foster API-led connectivity across enterprise systems and third parties.
• Define API lifecycle management and documentation practices.
• Oversee development and support of enterprise applications and AI solutions.
• Lead AI-enabled solutions, workflows, and responsible AI controls.
• Identify business value opportunities from AI and emerging tech.

Skills

Data strategy

Data governance

API management

Data warehousing

AI and Agentic AI

Cloud platforms

DevSecOps

Agile methodologies

Education

Bachelor’s degree in IT/CS/Engineering or related

Tools

Microsoft Fabric

MuleSoft Anypoint Platform

CI/CD tooling

Job description

Job Description:

Data Strategy and Management

• Develop and implement the organization’s enterprise data strategy aligned with business and technology objectives.

• Establish and maintain data governance standards, policies, and operating models across the data lifecycle.

• Ensure enterprise data is accurate, secure, accessible, and reliable for business use.

• Promote a data-driven culture by improving access to trusted data, analytics, reports, and AI-enabled insights.

Data Warehouse and Engineering

• Lead the architecture, development, and continuous improvement of the enterprise data warehouse using Microsoft Fabric.

• Oversee the development of scalable and automated ETL/ELT pipelines.

• Manage data integration across enterprise systems, cloud platforms, operational systems, and external data sources.

• Establish standards for data modeling, transformation, testing, deployment, documentation, and performance monitoring.

• Drive the modernization of legacy data platforms and manual processes.

API Management and Systems Integration

• Lead the organization’s API strategy, architecture, governance, and delivery using MuleSoft.

• Oversee the design, development, deployment, and management of secure and reusable APIs.

• Promote API-led connectivity and seamless integration across enterprise systems and third-party services.

• Establish standards for API security, versioning, documentation, monitoring, and lifecycle management.

Application Development and AI

• Lead the planning, design, development, implementation, and support of enterprise applications.

• Oversee the delivery of web, mobile, workflow, automation, integration, and AI-enabled solutions.

• Lead the development and implementation of Agentic AI solutions, intelligent automation, and AI-assisted workflows.

• Identify business opportunities where AI agents and emerging technologies can create measurable business value.

• Establish appropriate controls for responsible AI, including security, data privacy, human oversight, and risk management.

Technology Leadership and Governance

• Define and maintain the target architecture for data platforms, APIs, applications, and AI solutions.

• Ensure alignment with enterprise architecture, cloud strategy, cybersecurity standards, and technology roadmaps.

• Review solution designs and promote scalable, modular, secure, and reusable technology solutions.

• Evaluate emerging technologies based on business value, scalability, security, and total cost of ownership.

Project and Team Management

• Manage the data, integration, application development, and AI project portfolio.

• Lead multidisciplinary teams across data engineering, API development, software engineering, DevOps, QA, AI engineering, and solution architecture.

• Manage project priorities, resources, budgets, timelines, risks, and external technology partners.

• Coach and develop team members while fostering a culture of innovation, accountability, collaboration, and continuous improvement.

Job Qualifications:

• Bachelor’s degree in Information Technology, Computer Science, Computer Engineering, Data Science, Software Engineering, or a related field.

• At least 10 years of progressive experience in information technology, data management, data engineering, systems integration, or application development.

• At least 5 years of experience in a leadership or management role.

• Proven experience in managing enterprise data warehouses, ETL/ELT platforms, APIs, systems integration, and application development teams.

• Experience in delivering enterprise-scale digital transformation, data modernization, or AI initiatives.

• Experience working with cloud-based platforms, Agile methodologies, DevSecOps, and enterprise architecture.

• Experience in managing vendors, technology partners, project budgets, and cross-functional teams.

• Strong knowledge of Microsoft Fabric.

• Strong understanding of data warehouses, data lakes, lakehouses, and data marts.

• Knowledge and experience in ETL/ELT architecture and development.

• Strong knowledge of data modeling, dimensional modeling, and semantic models.

• Knowledge of data quality, metadata management, data lineage, and master data management.

• Experience with MuleSoft Anypoint Platform.

• Knowledge of API design, API-led connectivity, integration patterns, and API security.

• Knowledge of cloud architecture and cloud-native application development.

• Experience in web and mobile application development.

• Knowledge of microservices and event-driven architecture.

• Experience with DevSecOps, CI/CD, source code management, and automated testing.

• Knowledge of Artificial Intelligence, Generative AI, Large Language Models (LLMs), and Agentic AI.

• Understanding of Retrieval-Augmented Generation (RAG) and enterprise knowledge systems.

• Knowledge of AI orchestration frameworks, evaluation, monitoring, guardrails, and responsible AI.

• Knowledge of Agile, Scrum, product management, and project portfolio management.