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. 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 MegazoneCloud • Senior Data Engineer (L5) • 2 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.