Data Engineering Leadership for Reliable Pipelines and Scalable Platforms
Great data delivery leadership requires more than managing timelines-it requires understanding the engineering underneath them. As a Data Engineering Delivery Lead, you'll apply working knowledge of data architecture, ETL/ELT pipelines, databases, data integration, and warehouse/lakehouse concepts to plan complex programs, anticipate technical dependencies, and reduce delivery risk. Lead internal engineers and technology partners across scalable data initiatives supporting operational and financial decisions while building your career within Emapta's award-winning, international workforce environment.
Snapshot
- Employment Type: Full-time
- Work Setup: Hybrid, Makati (Onsite at least 4 times monthly)
- Competitive Salary Package
- HMO coverage with free dependent upon regularization
- Prime office location in Makati (Easy access to MRT stations, restaurants, and banks)
- Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)
- Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: https://emapta.com/training-calendar/)
- Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
- Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
- Unlimited opportunities for employee referral incentives across the organization
- Standard government and Emapta benefits
- Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
- Mentorship and exposure to global leaders and teams
- Diverse and supportive work environment
Qualifications
- At least 6 years of experience in data engineering, DataOps, DevOps, or technical program and delivery management, including at least 3 years leading data or platform engineering initiatives
- Strong working knowledge of data architecture, data pipelines, ETL/ELT processes, databases, data integration, and data warehouse/lakehouse concepts
- Proven experience planning and delivering complex, multi-workstream data engineering programs while managing technical dependencies, risks, timelines, and releases
- Experience managing blended teams of internal engineers and external technology vendors
- Hands-on familiarity with AWS services, including S3, Glue, Lambda, RDS, and IAM
- Working knowledge of Databricks, Delta Lake, notebooks, and job/workflow orchestration
- Proficiency in SQL and Python, with the ability to review and evaluate data pipeline and transformation code
- Familiarity with Airflow or similar orchestration tools, monitoring and observability solutions, and incident management practices
- Experience with Bitbucket, source control, branching, pull requests, and CI/CD workflows
- Proficiency with Jira, Confluence, or similar tools for backlog, roadmap, release, and documentation management
- Strong knowledge of Agile or Scrum delivery practices, including sprint planning and backlog management
- Strong stakeholder management and communication skills, with the ability to translate technical data requirements, risks, and dependencies for nontechnical stakeholders
- Exposure to ERP, CRM, financial, or other downstream business systems supporting operational and financial reporting is an advantage, or financial platforms, particularly those supporting operational and financial reporting
Responsibilities
Delivery Leadership and Program Representation
- Serve as the engineering team's single point of accountability for scoping, sequencing, and tracking delivery across all active engineering programs
- Represent Data Architecture and Delivery in cross-functional planning sessions, steering committees, and executive status reviews
- Report delivery progress, risks, and dependencies in clear business terms
- Own the delivery calendar, including sprint and release planning, milestone tracking, and go-live readiness across internal and external engineering resources
- Coordinate internal engineers and external delivery partners through a shared backlog, a common definition of done, and aligned delivery timelines
- Escalate and resolve cross-team blockers and resourcing conflicts before they affect delivery commitments
Data Operations and Engineering Oversight
- Define and evolve the team's DataOps operating model, including data ownership, on-call protocols, release management, and service levels for critical pipelines and datasets
- Own pipeline reliability, monitoring, incident response, and release management across the data platform
- Establish and enforce engineering delivery standards covering code reviews, CI/CD practices, environment promotion, testing, and rollback procedures
- Maintain visibility into pipeline health, data quality service-level agreements, and job performance across all data domains
- Drive root-cause analysis and resolution for recurring pipeline and data quality issues
- Support architecture and platform decisions from delivery and operational perspectives in partnership with the Data Engineering Lead and Head of Data Architecture
Governance, Quality, and Risk Management
- Ensure delivery activities align with the data governance charter, RACI model, and data ownership standards
- Own reconciliation, validation, and quality assurance checkpoints between major program phases and releases
- Maintain delivery risk and dependency logs
- Develop and execute mitigation plans for scheduling, resourcing, and data quality risks
Stakeholder and Vendor Management
- Act as the primary liaison for external delivery partners and engineering vendors
- Manage vendor scope, capacity, and performance against agreed deliverables
- Partner with Finance, Human Resources, Client Operations, and other business stakeholders to translate requirements into engineering deliverables and realistic timelines
- Provide regular and concise status reports to the Head of Data Architecture and Delivery and executive leadership
- Coordinate daily assignments across internal data engineers and business and data analysts
- Balance team capacity across discovery, development, and operational support requirements
- Mentor engineers on delivery discipline, operational excellence, and cross-team collaboration
- Establish and maintain scalable ways of working, including team ceremonies, backlog hygiene, and documentation standards
- Evolve team practices as the engineering group and program portfolio grow
Join Emapta, recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and winner of Inspiring Workplaces Australasia 2026. With a 50/50 gender ratio and a culture rooted in care and empathy, you'll feel valued from day one. We're committed to growing talent and setting you up for success.
Be part of a team that showcases Filipino excellence to the world. With over 30 offices across 11 countries and 1,200+ clients, you'll create real impact every day-whether you work from home or on-site. Our 100% virtual recruitment process makes it easy to get started.
At Emapta, you're not just joining a company-you're becoming part of a thriving community of 12,000+ professionals growing careers with purpose. And behind every partnership we build is a deep respect for people and the impact they make.
"We place integrity at the heart of everything we do and truly value the human experience. That's why, for clients, it's a profound and transformational process that gives them the opportunity to achieve the business growth they desire."