As a Data Platform Engineer, you will play a crucial role in our Data Platform team, which is part of the Foundation area dedicated to building our internal engineering platform. Your role will be to evolve our data platform and the tooling for data ingestion, processing, and management.
You will play a pivotal role in building a scalable and robust data platform, directly enabling the company to leverage a broad range of data sources. By working to improve our Google Cloud-based data platform, you will help develop a cohesive system that allows users across the company to focus on building features and sharing data easily. You will be building out support for new features like streaming events, processing unstructured data, and implementing better data governance, ensuring the entire organization can run on high-quality, reliable data.
Your key responsibilities include:
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Collaborate with a talented and diverse team to build and enhance our data platform for data collection, processing, access, usability, and monitoring.
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Create architectural guidelines, solutions, and best practices for data processing.
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Provision and manage resources in Google Cloud using Terraform.
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Manage new and existing data sources into our ELT and reverse ETL pipelines.
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Strategize optimAs a Data Platform Engineer, you will play a key role within the Data Platform team, a core part of the Engineering Foundation organization. You will be responsible for evolving and scaling a modern data platform that enables efficient data ingestion, processing, management, and accessibility across the business.
This position offers the opportunity to have a significant impact on the future of the company’s data ecosystem. By enhancing a Google Cloud-based platform, you will help build a scalable and cohesive data environment that empowers teams across the organization to leverage data effectively. You will contribute to enabling new capabilities such as real-time event streaming, processing unstructured data, and strengthening data governance, ensuring that high-quality and reliable data is available throughout the business.
Key Responsibilities
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Collaborate with a talented, cross-functional team to develop and enhance the data platform, focusing on data collection, processing, accessibility, usability, and monitoring.
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Define and implement architectural guidelines, technical solutions, and best practices for data processing and platform development.
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Provision, automate, and manage cloud infrastructure in Google Cloud using Terraform.
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Integrate and manage both new and existing data sources within ELT and Reverse ETL workflows.
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Drive strategies and technical solutions related to data governance, data cataloging, data discovery, and secure data access.
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Ensure high standards of data quality and reliability through monitoring, CI/CD practices, automated testing, and operational excellence.
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Partner closely with stakeholders to understand data requirements and deliver solutions that support business objectives.
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Continuously evaluate and adopt emerging technologies, tools, and best practices to improve the organization’s data infrastructure.
Requirements
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4-5+ years of experience working with data platforms, systems architecture, and Google Cloud Platform (GCP) technologies.
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Hands-on experience designing and building data ingestion frameworks and orchestration solutions, such as Airflow or Snowplow.
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Strong experience with Infrastructure as Code (IaC) tools, particularly Terraform.
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Proven expertise in building and maintaining data pipelines, distributed systems, and cloud-native infrastructure.
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Solid understanding of software engineering best practices, including version control, CI/CD, testing, and documentation.
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Proficiency in Python.
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Strong collaboration and communication skills, with the ability to work effectively alongside Analytics Engineers, Data Scientists, and Machine Learning Engineers.
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Passion for building scalable, reliable, and maintainable data solutions.
Nice to Have
- Nice to have
Experience with data security and compliance (PII handling and GDPR) and familiarity with Go is helpful, but not required.
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