Senior Data Engineer - GCP

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.

- Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on Google

- Define the data ecosystem: Drive the strategy for a client's data environment, leveraging BigQuery and the GCP

- 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.

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

Governance & catalog Dataplex / Knowledge Catalog - glossary, policy tags, lineage, column-level

Observability Cloud Monitoring + Logging - SLIs/SLOs, alerting, data quality metrics

IaC & CI/CD Terraform, GitHub Actions, Secret Manager, least-privilege IAM

- 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

- 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

- A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.

- Experience with GenAI, AI/ML frameworks, and MLOps - including data modeling and metadata that gets a

- 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.

- 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.