Senior Data Engineer — GCP
About The Position
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.
Requirements
- 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.
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.
- Certifications in GCP, Databricks, Snowflake, or AWS.
Responsibilities
- Architect, build, and lead scalable, high-performance data platforms and pipelines on Google Cloud.
- Drive the strategy for a client's data environment, leveraging BigQuery and the GCP data stack to create powerful, efficient data models.
- Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and run rigorous, kind code reviews.
- Lead technical discussions in your workstream — demos, working sessions, architecture reviews, and knowledge-transfer workshops — and translate business requirements into technical decisions.
- Prototype solutions, evaluate new services, and surface risks before they become escalations.
- Act as a key “force multiplier” within our cross-functional US and offshore teams, and mentor junior engineers.
- Embrace a “builder” mentality and solve diverse challenges, with your voice being critical in shaping our technical roadmap.
Benefits
- Your growth is our growth.
- Management is here to empower you and clear roadblocks, not to micromanage.
- Your voice and designs will directly shape our technical roadmap and our clients' success.
- Work on the latest tech to solve real problems.
- Mistakes are learning opportunities, not failures.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
