Engineering Manager (Data Platform)

Agile Team Leadership: Guide and coach Agile teams to uphold engineering standards, manage sprint backlogs, clarify responsibilities, ensure code quality, enforce development guardrails, and drive rigorous testing practices.

Agile Data Delivery: Oversee Agile execution across data platforms, maintaining excellence in data quality, testing, code review practices, CI/CD pipelines, documentation, and operational readiness.

Cross-Functional Collaboration: Partner with data architects, product managers, analytics teams, platform engineers, and governance stakeholders to deliver data capabilities aligned with business priorities.

Roadmap Ownership: Lead the execution of the data engineering roadmap, balancing immediate delivery needs with long-term platform sustainability.

Architecture & Design: Contribute to the design of data platform architecture across ingestion, transformation, storage, and consumption layers.

Engineer Development: Coach engineers to become T-shaped professionals, capable of working across batch processing, streaming, analytics engineering, and platform operations.

Technical Debt Remediation: Own and prioritize the resolution of technical and data debt, including legacy pipelines, performance bottlenecks, and data quality issues.

Modern Practices: Stay current with evolving data engineering tools, methodologies, and patterns-particularly within the Databricks ecosystem.

Lifecycle Accountability: Ensure end-to-end ownership of data solutions, from design and build through deployment, monitoring, and ongoing support.

Team Empowerment: Foster self-sufficient, disciplined teams accountable for the reliability and resilience of data products.

Process Excellence: Lead initiatives to enhance data delivery through automation, observability, and operational best practices.

Continuous Improvement: Inspire teams to innovate, experiment, and embrace continuous delivery as part of their culture.

Career Growth: Drive career development for data engineers, partnering with HR to manage performance and define growth pathways.

Proficient in Databricks, Apache Spark, and lakehouse patterns

Comprehensive knowledge of data warehousing concepts, dimensional modelling, and analytics use cases

Proficiency in constructing and managing batch and streaming data pipelines

Familiarity with Delta Lake, data versioning, and schema evolution

Understanding of data quality, data validation, lineage, and observability practices

Familiarity with AWS (Lambda, S3, API Gateway, CLI, ECS, EKS…) or Google cloud platform is required

Formal Development methodologies;

10+ years' experience in software or data engineering

4+ years' experience leading engineering teams, especially in data, analytics, or platform domains

Proven ability to design and deliver end-to-end data platforms or major data initiatives

Experience working in regulated environments

Strong people leadership skills, with a proven ability to mentor and grow data engineers

Experience producing and maintaining technical documentation, including architecture diagrams, runbooks, and data specifications

Proven ability to work with multiple stakeholders across geographies and manage competing priorities

Solid understanding of quality, reliability, and operational excellence in production data systems

Ownership of SLAs / SLOs for data availability and freshness

Collaboration with risk, compliance, and audit teams

Responsibility for data cost management and optimization

Company offers meal and parking benefits.

Full benefits and probationary salary provided.

Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.

Work environment is values-driven, international, and agile in nature.

Opportunities for overseas travel related to training and work.

Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.

Additional benefits include a 13th-month salary and performance bonuses.

Employees receive 15 days of annual leave and 3 days of sick leave per year.

Work-life balance with a 40-hour workweek from Monday to Friday.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666