Hybrid Data Engineering Delivery Lead - Scalable Pipelines

Hammerjack Pty Ltd; Philippines; Hybrid; PHP 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Hybrid work arrangement

HMO coverage with dependent

Salary advance program

Upskilling via Emapta Academy

Gym access

Referral incentives

20 annual leaves

Mentorship and leadership exposure

Job summary

Emapta is seeking a Data Engineering Delivery Lead to guide scalable data initiatives, partnering with internal engineers and external vendors. You will shape data architecture, plan multi-workstream programs, manage risks, and ensure timely delivery in a hybrid Makati-based setup.

The role demands 6+ years in data engineering or related fields, with 3+ years leading data or platform programs. Proficiency in AWS data services, Databricks, SQL, Python, and Agile practices is essential.

Qualifications

• At least 6 years of experience in data engineering or related fields.
• Leading data or platform engineering initiatives for at least 3 years.
• Hands-on with AWS data services and Databricks ecosystem.

Responsibilities

• Serve as single point of accountability for scoping, sequencing, and tracking delivery across active engineering programs.
• Represent Data Architecture and Delivery in planning sessions and executive reviews.
• Report progress, risks, and dependencies in business terms.
• Own delivery calendar, sprint and release planning, and go-live readiness.
• Coordinate internal engineers and external partners via a shared backlog and defined definition of done.
• Escalate and resolve blockers before they affect commitments.

Skills

Data architecture

Data pipelines

ETL/ELT

Databases

Data integration

Data warehouse

Lakehouse

Program leadership

AWS

Databricks

Delta Lake

SQL

Python

Airflow

Git/CI-CD

Jira/Confluence

Agile

Stakeholder management

ERP/CRM familiarity

Tools

S3

Glue

Lambda

RDS

IAM

Job description

Emapta is seeking a Data Engineering Delivery Lead to guide scalable data initiatives, partnering with internal engineers and external vendors. You will shape data architecture, plan multi-workstream programs, manage risks, and ensure timely delivery in a hybrid Makati-based setup.

The role demands 6+ years in data engineering or related fields, with 3+ years leading data or platform programs. Proficiency in AWS data services, Databricks, SQL, Python, and Agile practices is essential.