Data Engineering Manager
eames consulting group (singapore) pte. ltd. · Central Area, Singapore ·
- Category
- Data engineering
- Experience
- 5+ years
eames consulting group (singapore) pte. ltd. · Central Area, Singapore ·
Eames Consulting · Singapore, Singapore
Eames Consulting Group · Singapore
gh · India - HQ
tvh · Pune
Nexcess · Remote (United States)
Leadership role managing a data engineering team that designs, scales, and migrates a cloud-based data lakehouse processing high-volume consumer behavioural and revenue event data. Core stack involves cloud data platforms, Airflow orchestration, dbt transformations, CI/CD, and embedded data governance (GDPR).
We are partnered with an established firm to look for a Data Engineering Manager.
Key Responsibilities
. Provide leadership, mentoring, and technical direction to a high-calibre data engineering team while fostering engineering best practices, CI/CD, and system observability.
. Lead the architectural design and scaling of a modern cloud-based data lakehouse and transformation framework processing high-volume consumer behavioural events and revenue streams.
. Direct system migrations from legacy data setups to next-generation distributed storage and compute frameworks with zero business disruption.
. Embed automated data governance, cataloguing, lineage tracking, and regulatory compliance protocols (GDPR/privacy frameworks) directly into data pipelines.
Requirements
. Bachelor's or Master's degree in Computer Science or a relevant STEM discipline.
. At least 5 years of engineering people management or technical team leadership experience.
. At least 10 years of overall technical background building scalable distributed data systems and robust software solutions.
. Deep hands-on knowledge of cloud data engineering, lakehouse storage layers, orchestration tools (e.g., Airflow), and data transformation engines (e.g., dbt).
. Strong track record in establishing automated testing, infrastructure-as-code, streaming/batch ingestion, and governance frameworks.
. Solid commercial understanding of cloud cost optimization (FinOps) and translating technical architecture into product/business impact.