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Megazone Cloud US, backed by Asia's largest cloud provider, is seeking a Senior Data Engineer to help lead and define a data-driven culture on Google Cloud Platform. This is a hands-on technical role with significant leadership and mentorship responsibilities.
You will architect, build, and own scalable, high-performance data platforms and pipelines on GCP. Key responsibilities include:
- Architecting and owning scalable data platforms and pipelines on Google Cloud, moving beyond maintenance to strategic design
- Defining data ecosystem strategy for clients, leveraging BigQuery and the GCP data stack to create powerful, efficient data models
- Writing and reviewing critical code in Python and SQL, setting standards for code quality and conducting rigorous code reviews
- Leading technical discussions with clients including demos, architecture reviews, and knowledge-transfer workshops; translating business requirements into technical decisions
- Prototyping solutions, evaluating new GCP services, and surfacing risks before they become escalations
- Acting as a force multiplier within cross-functional US and offshore teams, mentoring junior engineers
- Embracing a builder mentality to solve diverse challenges and shape the technical roadmap
The technical stack includes BigQuery (partitioning, clustering, authorized views, BI Engine, BigQuery ML), Datastream, Pub/Sub, Dataflow, Cloud Functions/Cloud Run, Cloud Storage, Dataform or dbt, Cloud Composer (Airflow), Cloud Workflows, Eventarc, Dataplex/Knowledge Catalog, Cloud Monitoring + Logging, Terraform, GitHub Actions, Looker, Power BI, Vertex AI, and Gemini.
This is a startup environment with flat organizational structure, true servant leadership, and emphasis on learning and impact. You'll have direct influence on technical roadmap and client success.
REQUIREMENTS:
- 5–8+ years of professional data engineering experience
- Deep, expert-level proficiency with Python
- Deep, expert-level proficiency with SQL
- Hands-on, expert-level experience with BigQuery and the wider Google Cloud data stack
- Hands-on experience with a SQL transformation framework (Dataform or dbt)
- Deep expertise in designing and architecting scalable data platforms, including batch and streaming ingestion patterns
- Strong infrastructure-as-code practice (Terraform or equivalent) and CI/CD
- Proven ability to lead complex, ambiguous projects from conception to delivery
- Experience mentoring other engineers and leveling up the team
- Exceptional communication skills, flexibility to think fast, and credibility to present decisions to technical and non-technical audiences
- Builder mindset, startup mentality, and genuine thirst for knowledge
BONUS:
- Experience with GenAI, AI/ML frameworks, and MLOps (data modeling and metadata for agentic workloads)
- Looker/LookML, Power BI, or other BI tooling on cloud warehouse
- Change-data-capture and real-time streaming at production scale
- Data governance and catalog work (glossary, policy tags, lineage, data contracts)
- Cross-platform depth (AWS, Databricks, Snowflake)
- Certifications in GCP, Databricks, Snowflake, or AWS
