The posting
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 to technical and non-technical audiences alike.
- A “builder” mindset, a startup mentality, and a genuine thirst for knowledge.
BONUS POINTS (NICE-TO-HAVES)
- Experience with GenAI, AI/ML frameworks, and MLOps — including data modeling and metadata that gets a client ready for agentic workloads.
- Looker / LookML, Power BI, or other BI tooling on top of a 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, or Snowflake. We meet clients where they are.
- Certifications in GCP, Databricks, Snowflake, or AWS.
WHY YOU'LL LOVE IT HERE
- Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
- True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
- Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
- A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.
We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.
