Engineering Manager – Data
Tyme
full-time
Posted on:
Location Type: Hybrid
Location: Ho Chi Minh City • Vietnam
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Tech Stack
About the role
- Focussed on data engineering teams with data warehousing, streaming and batch patterns, CI/CD for data pipelines,
- Drive and coach Agile teams to deliver on engineering standards, sprint backlogs and plans, engineers’ responsibilities and performance management, code quality, adherence to development guardrails, and testing;
- Drive Agile delivery across data platforms, ensuring high standards for Data quality and testing, Code quality and review practices, CI/CD for data pipelines, Documentation and operational readiness
- Collaborate closely with data architects, product managers, analytics teams, platform teams, and governance stakeholders to deliver data capabilities aligned with business priorities
- Own the execution of the data engineering roadmap, balancing short-term delivery with long-term platform sustainability
- Contribute to data platform architecture and design, including ingestion, transformation, storage, and consumption layers
- Coach engineers to be T-shaped, capable of working across batch, streaming, analytics engineering, and platform concerns
- Own and prioritise the remediation of technical and data debt, including legacy pipelines, performance issues, and data quality gaps
- Stay current with modern data engineering tools, patterns, and methodologies, particularly within the Databricks ecosystem
- Be accountable for the full lifecycle of data solutions, from design through build, deployment, monitoring, and support
- Empower teams to be self-sufficient, disciplined, and accountable for the reliability of data products
- Lead initiatives to improve data delivery processes, including automation, observability, and operational excellence
- Motivate teams to continuously improve through innovation, experimentation, and continuous delivery
- Drive career development and progression for data engineers, partnering with HR on performance management and growth paths
Requirements
- Strong experience with Databricks, Apache Spark, and lakehouse patterns
- Deep understanding of data warehousing concepts, dimensional modelling, and analytics use cases
- Experience building and operating batch and streaming data pipelines
- Familiarity with Delta Lake, data versioning, and schema evolution
- Understanding of data quality, data validation, lineage, and observability practices
- Understanding about AWS (Lambda, S3, API Gateway, CLI, ECS, EKS…) or Google cloud platform is a must
- 10+ years’ experience in software or data engineering
- 4+ years’ experience leading engineering teams, ideally 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 (banking or financial services preferred)
- 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
- Strong 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 optimisation.
Benefits
- Meal and parking allowances are covered by the company.
- Full benefits and salary rank during probation.
- Insurances such as Vietnamese labor law and premium health care for you and your family.
- SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.
- Values-driven, international working environment, and agile culture.
- Overseas travel opportunities for training and work-related.
- Internal Hackathons and company events (team building, coffee run, etc.).
- Pro-Rate and performance bonus.
- 15-day annual + 3-day sick leave per year from the company.
- Work-life balance 40-hr per week from Mon to Fri.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
DatabricksApache Sparkdata warehousingdimensional modellingbatch data pipelinesstreaming data pipelinesDelta Lakedata validationdata lineagedata observability
Soft skills
people leadershipmentoringcollaborationperformance managementaccountabilityinnovationcoachingcommunicationteam motivationstakeholder management