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Data Engineering Lead

Summary

Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.

Key Responsibilities

  1. Define and lead enterprise data platform architecture by designing scalable, secure, and cost-efficient data lake/lakehouse/warehouse solutions across cloud and hybrid environments, while driving data modernization and platform strategy.

  2. Oversee end-to-end data engineering delivery by leading the development of robust ETL/ELT pipelines, enterprise data integration, DataOps/CI/CD implementation, and ensuring data quality, lineage, observability, and performance.

  3. Establish data governance, security, and platform standards by implementing metadata management, cataloging, access controls, master data management (MDM), and engineering best practices including IaC, version control, testing, and monitoring.

  4. Enable analytics, business intelligence, and AI by delivering trusted, analytics-ready datasets, supporting batch and real-time data processing, enabling self-service analytics, and partnering with data science teams for ML initiatives.

  5. Lead teams and drive organizational transformation by building high-performing data engineering capabilities, managing technology vendors, standardizing preferred platforms (e.g., Azure and Databricks), and aligning the data platform roadmap with business and digital transformation goals.

Qualifications & Experience

  • Bachelor’s degree in Data Science, Engineering, Computer Science, Business, or a related field (Master’s degree or MBA preferred).

  • 10-15+ years of experience in data engineering, data platforms, analytics, or digital transformation, including at least 5 years in senior leadership roles.

  • Proven experience designing, delivering, and scaling cloud-based data and analytics platforms, preferably across multiple cloud ecosystems.

  • Strong expertise in ERP-centric environments, master data management, and enterprise analytics platforms.

  • Experience in FMCG, distribution, logistics, or other high-volume operational environments.

  • Strong stakeholder management, business acumen, and change management capabilities.

  • Willing to work 100% onsite in Banawe, Quezon City.

See also