---
title: 'Senior Data Engineer — GCP at Megazone Cloud US'
canonical: 'https://feeny.ai/job/senior-data-engineer-gcp-megazone-cloud-us-rochester-mq4sxt4etpy4'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Data Engineer — GCP at Megazone Cloud US

- **Company:** Megazone Cloud US
- **Location:** Rochester, NY
- **Compensation:** $145k–$165k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/megazone/efe79b3b-90c4-4845-b99b-b97df4683b5f

## Job description

## 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.

## About Megazone Cloud US

## Company Overview
- **One-liner**: Megazone Cloud US is the American arm of a leading AI-native digital transformation partner, providing cloud, AI, and cybersecurity solutions to enterprises.
- **Entity Type**: Public (part of the publicly listed Megazone Cloud group)
- **Headquarters**: Fairport, New York, United States
- **Founded**: 1998 (parent company)
- **Founders**: Not publicly available

## Core Business
- Primary industries: Cloud Services, IT Consulting, AI Solutions, Cybersecurity
- Target customers: Enterprise B2B, spanning finance, manufacturing, healthcare, retail, software, and public sector
- Mission/Purpose: "Transform. Tomorrow. Together." – combining technology and data with the power of people to create a better future alongside customers and partners.

## Products & Services
For each major offering:
- **[AI-Native Transformation & GenAI Adoption]**: Consulting and implementation services for generative AI, including the HALO security framework and AWS Agentic AI specialization.
- **[Application Modernization & DevOps]**: Agile development methodology (AI SDLC) that automates and accelerates the entire process from design to operation.
- **[Cloud Migration & Modernization]**: AI-based migration services that minimize manual errors and provide data-driven insights for future growth.
- **[AI Contact Center (AICC)]**: An AI-native Amazon Connect-based solution that integrates all customer touchpoints with GenAI automation for a seamless consultation experience.
- **[Data & AI]**: Data analytics and insights services.
- **[Cybersecurity (HALO Framework)]**: An integrated security approach based on cloud expertise, broad capabilities, and intelligent defense in the AI era.
- **[Cloud Infrastructure Management]**: Managed services for AWS, Azure, and GCP environments.

## Market Standing
- **Valuation/Market Cap**: Not publicly available for the US entity; parent company is publicly listed on the Korea Exchange (ticker: 224110.KS)
- **Key Metric**: Parent company reported eyes 10x revenue growth with U.S. expansion; serves over 8,000 clients worldwide with 2,000+ cloud and AI experts
- **Notable Investors/Partners**: AWS (named Partner of the Year multiple times, 2025 AWS APJ Consulting Partner of the Year, AWS Agentic AI Specialization), Snowflake, Databricks, Google Cloud Platform
- **Growth Signals**: US headcount of 39 with monthly growth of +2.3%; aggressively hiring across multiple U.S. locations; publicizing "10x Revenue Growth" targets for U.S. expansion; 37 active job postings

## Competitive Advantages
- **Global Scale with Local Presence**: Part of a group of 2,700+ employees and 2,000+ cloud/AI experts with operations across the US, Canada, Korea, Japan, Southeast Asia, and Oceania, while maintaining a focused US office.
- **Deep Cloud Partnerships**: Multiple "Partner of the Year" awards from AWS (including back-to-back APJ Consulting Partner of the Year) and active partnerships with Snowflake, Databricks, and GCP.
- **End-to-End AI-Native Capabilities**: Covers the full spectrum from cloud migration to application modernization to AI-native contact centers and cybersecurity, all under one roof.
- **Proprietary Frameworks**: The HALO security framework and AI SDLC methodology provide differentiated, repeatable solutions.

## Strategic Focus
- **Aggressive US Market Expansion**: Publicly targeting "10x revenue growth" through strategic expansion in the U.S., focusing on generative AI and quantum computing.
- **AI and Agentic AI Leadership**: Recently achieved AWS Agentic AI Specialization, positioning itself at the cutting edge of autonomous AI solutions.
- **Industry-Specific Solutions**: Tailored approaches for finance (e.g., Woori Bank cloud platform), manufacturing, automotive, healthcare, retail, and public sector.

## Why Work Here
- **Culture**: Emphasis on "Trinity Values" – customer-first innovation, continuous asset creation, and excellence in execution. The company promotes active learning, forward thinking, and global perspective.
- **Work Policy**: Hybrid workspace (mix of remote and on-site work); offices in Fairport (NY), Rochester (NY), Irvine (CA), and multiple global locations.
- **Growth Trajectory**: Rapid US expansion with a small, growing team (39 employees, 2.3% monthly growth) offers significant impact and career acceleration opportunities.
- **Tech Stack**: Modern, cloud-native environment with AWS, Azure, GCP, Snowflake, Python, Java, Kubernetes, and AI/ML tools.
- **Global Exposure**: Opportunity to work with a global team spanning 6+ countries and serve 8,000+ clients worldwide.

## Sources
1. [megazone.com](https://www.megazone.com/)
2. [linkedin.com](https://www.linkedin.com/company/megazonecloud-us)
3. [builtin.com](https://builtin.com/company/megazone-cloud)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/megazone)
5. [megazone.com/us/about/careers](https://www.megazone.com/us/about/careers)

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