Designs and builds end-to-end data platforms on Google Cloud for regulated-sector clients. Responsibilities include developing reliable pipelines, modeling scalable data systems, optimizing performance and cost, ensuring data governance and regional compliance, and applying cloud networking and security practices. The role requires strong SQL and Python skills, client-facing communication, and ownership of project outcomes.
This is a remote position.
About the role
Synthlane builds data platforms on Google Cloud for Google partners and their clients in North America. Many of these clients work in regulated sectors, where data must stay accurate, governed and in the right region. You will design and build those platforms end to end.
What strong looks like here
- You understand how data systems work underneath, and you know what makes them fast, slow or expensive.
- You write excellent SQL and strong Python.
- You build pipelines that stay correct when the data is late, duplicated or messy.
- You model data so it stays clear and fast as it grows.
- You know enough about cloud networking and security to keep data inside its boundaries.
- You explain trade-offs clearly to clients, and you take ownership of the outcome.
Experience
- 3–10 years of data engineering, with hands-on Google Cloud work. We value depth over years.
- 6 hours of overlap with North American Eastern time.
Nice to have
- A Professional Google Cloud certification.
You will enjoy this role if
- You like making messy data reliable.
- You want to build platforms that clients depend on every day.
What you get
- Direct work on Google-referred projects, alongside Google Cloud teams.
- Large-scale data work across many industries.
Type: Remote, contract or full time.
Similar Jobs
Information Technology
The Google Cloud Data Engineer will design and implement data pipelines using Google Cloud technologies and collaborate with analysts to ensure data quality and governance.
Top Skills:
Google BigqueryGoogle Cloud DataflowJavaPub/SubPythonSQL
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Own the technical direction and end-to-end delivery of a backend engineering team supporting high-volume supply chain visibility platforms. Design distributed microservices, event-driven systems, data models, integrations, and production architecture. Drive engineering standards, reliability, observability, technical debt reduction, risk management, code quality, mentoring, hiring, and cross-functional coordination. Remain hands-on in Java or Go development while partnering with Product and Engineering Managers to deliver complex multi-quarter initiatives.
Top Skills:
AWSCi/CdConfluenceDcsa ApisDockerEdi/EdifactGitGoJavaJIRAKafkaKubernetesOmsOraclePostgresRedisSAPSpring BootSQLTmsWmsX12
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead design, build, and maintain scalable infrastructure and platform services. Improve reliability, automation, CI/CD, observability, and security. Collaborate with engineering teams to define best practices and troubleshoot production incidents.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
