Senior Data Engineer — GCP

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.