Data Ops Lead

Lead Data Operations for a Global Outsourcing and Workforce Solutions Leader

Bring clarity and momentum to complex data engineering programs that support critical operational and financial decisions. The Data Ops Lead strengthens delivery accountability, platform reliability, stakeholder alignment, and scalable team practices. With Emapta, top 1% talent gains stability, global exposure, work-life balance, continuous development, and meaningful career progression while advancing trusted data capabilities for growing international businesses with lasting value.

Snapshot

• Employment Type: Full-time
• Work Setup: Hybrid, Makati (Onsite at least 4 times monthly)
• Shift: Flexible Shift, Weekends Off

Benefits

• Competitive Salary Package
• Hybrid work arrangement
• Weekends off
• 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)
• Fun engagement activities for employees
• Mentorship and exposure to global leaders and teams
• Career growth opportunities
• Diverse and supportive work environment

Qualifications

• At least 6 years of experience in data engineering, DevOps, DataOps, or technical program and delivery management, including at least three years leading data or platform engineering delivery initiatives
• Proven track record of delivering complex, multi-workstream technical programs on time and within scope
• Experience managing blended teams of internal employees and external engineering vendors
• Working knowledge of data architecture, ETL and ELT pipelines, and data warehouse and lakehouse concepts to effectively plan and de-risk engineering work
• Strong stakeholder management and executive communication skills, with the ability to represent engineering teams to nontechnical leaders and hold technical teams accountable for business commitments
• Familiarity with Agile, Scrum, or similar delivery frameworks, including sprint planning, backlog management, and release management

Technical Skills and Tools

• Demonstrate hands-on familiarity with the team's core technology stack and engage credibly with engineers on architecture, pipelines, and operations
• Apply knowledge of core AWS services, including S3, Glue, Lambda, RDS, and IAM, to evaluate cloud architecture, cost, and operational trade-offs
• Use Bitbucket to manage source control, branching strategies, pull-request workflows, and CI/CD pipelines for engineering releases
• Apply knowledge of Databricks, including lakehouse architecture, notebooks, Delta Lake, and job and workflow orchestration
• Demonstrate working proficiency in SQL and Python to read, review, and evaluate pipeline and transformation code
• Apply familiarity with workflow orchestration platforms, such as Airflow or equivalent tools, monitoring and observability solutions, and incident management practices
• Use Jira, Confluence, or equivalent delivery tools to manage backlogs, roadmaps, and documentation
• Bring exposure to downstream business systems, such as ERP, CRM, 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

Team 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.

Tim Vorbach, CEO

#EmaptaEra