Data Engineering Delivery Lead — Build Reliable Pipelines at Scale

Emapta; Makati; Hybrid; PHP 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Hybrid work arrangement

Weekends off

HMO coverage with free dependent upon定

Job summary

Emapta seeks a Data Engineering Delivery Lead to guide data architecture, ETL/ELT pipelines, and data platforms. Lead internal engineers and external partners across scalable data initiatives supporting operational and financial decisions in a hybrid Makati setup.

Role emphasizes delivery leadership, DataOps governance, and cross-functional collaboration with senior stakeholders. The team values mentorship, enterprise data excellence, and global collaboration across 12,000+ professionals.

Qualifications

• 6+ years in data engineering, DataOps, DevOps, or delivery management with leadership
• Strong knowledge of data architecture, pipelines, ETL/ELT, databases, and data warehouse concepts
• Experience delivering multi-workstream data programs with dependencies and risks
• Experience managing internal engineers and external vendors
• Hands-on AWS services experience (S3, Glue, Lambda, RDS, IAM)
• Familiar with Databricks, Delta Lake, notebooks, and workflow orchestration
• SQL and Python proficiency; review of data pipelines and code
• Exposure to ERP/CRM or financial reporting systems is a plus

Responsibilities

• Own scoping, sequencing, and tracking delivery across programs
• Represent Data Architecture and Delivery in cross-functional planning and governance
• Report progress, risks, and dependencies in business terms
• Manage sprint and release planning, milestones, and go-live readiness
• Coordinate internal engineers and external partners via shared backlog and definition of done
• Escalate and resolve blockers to protect delivery commitments
• Define DataOps operating model and service levels for pipelines
• Maintain pipeline reliability, monitoring, and release management
• Enforce engineering standards for code reviews, CI/CD, testing, and rollback
• Ensure data quality and visibility across domains
• Drive root-cause analysis for pipeline/data quality issues
• Partner on architecture decisions from a delivery perspective

Skills

Data architecture

Data pipelines

ETL/ELT

Databases

Data integration

Data warehouse / lakehouse

AWS (S3, Glue, Lambda, RDS, IAM)

Databricks

Airflow / orchestration

CI/CD / DevOps practices

Jira / Confluence

Stakeholder management

Agile / Scrum

Leadership / team mentoring

Tools

Databricks

Delta Lake

Jira

Confluence

Airflow

Bitbucket

Job description

Emapta seeks a Data Engineering Delivery Lead to guide data architecture, ETL/ELT pipelines, and data platforms. Lead internal engineers and external partners across scalable data initiatives supporting operational and financial decisions in a hybrid Makati setup.

Role emphasizes delivery leadership, DataOps governance, and cross-functional collaboration with senior stakeholders. The team values mentorship, enterprise data excellence, and global collaboration across 12,000+ professionals.