About the role

ABOUT MEGAZONE CLOUD We're not just another cloud company. We're a scrappy startup, funded by Asia's largest cloud provider, building the next generation of data solutions from the ground up. We're a team of builders, thinkers, and problem-solvers. If you're tired of red tape and want to build impactful, cutting-edge systems while having your voice heard, you've found your home. WHO WE'RE LOOKING FOR Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture on Google Cloud. You are a “builder” at heart, a seasoned expert who thrives on solving complex problems. You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor others. You have deep expertise in data architecture and data wrangling, and you are a master of Python, SQL, and BigQuery. You've architected platforms that other people's businesses run on, and you know the difference between a pipeline that works and a pipeline that survives contact with the real world. At L5 you lead ambiguous projects from conception to delivery and act as the technical point of contact for a client workstream. You're a “force multiplier” — your presence makes the engineers around you better. WHAT YOU'LL DO - Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on Google Cloud — not just maintain them. - Define the data ecosystem: Drive the strategy for a client's data environment, leveraging BigQuery and the GCP data stack to create powerful, efficient data models. - Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and run rigorous, kind code reviews. - Face the client: Lead technical discussions in your workstream — demos, working sessions, architecture reviews, and knowledge-transfer workshops — and translate business requirements into technical decisions. - De-risk: Prototype solutions, evaluate new services, and surface risks before they become escalations. - Collaborate and multiply: Act as a key “force multiplier” within our cross-functional US and offshore teams, and mentor junior engineers into engineers you'd want on your next project. - Be a flexible leader: Embrace a “builder” mentality. In a startup, you'll have the flexibility to solve diverse challenges, and your voice will be critical in shaping our technical roadmap. THE STACK WE BUILD ON Layer What we build with Warehouse & compute BigQuery — partitioning, clustering, authorized views, BI Engine, BigQuery ML Ingestion & streaming Datastream, Pub/Sub, Dataflow, Cloud Functions / Cloud Run, Cloud Storage Transformation Dataform or dbt — SQL models, assertions/tests, Git-based workflows Orchestration Cloud Composer (Airflow), Cloud Workflows, Eventarc Governance & catalog Dataplex / Knowledge Catalog — glossary, policy tags, lineage, column-level security Observability Cloud Monitoring + Logging — SLIs/SLOs, alerting, data quality metrics IaC & CI/CD Terraform, GitHub Actions, Secret Manager, least-privilege IAM Analytics & AI Looker, Power BI, Vertex AI, Gemini WHAT YOU BRING - 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 helping to level up the team. - Exceptional communication skills, the flexibility to think fast, and the credibility to present a decision