Jobs → Data & Analytics → Data Engineer

About the Role We are seeking a Data Engineer to design, build, and deploy modern cloud-based data platforms on GCP and/or Databricks. This role involves leading platform migration efforts and implementing optimized solutions using various cloud-native tools. Key Responsibilities • Design, build, and deploy modern cloud-based data platforms on GCP and/or Databricks • Lead platform migration efforts to new environments with aggressive delivery timelines • Implement and optimize solutions using Terraform, Dataplex, BigQuery, and cloud-native data engineering tools • Develop scalable ETL/ELT pipelines and robust data architectures • Drive infrastructure-as-code best practices for cloud resource provisioning • Collaborate with cross-functional teams to ensure smooth deployment and adoption • Troubleshoot performance issues and continuously improve platform reliability • Provide technical leadership and strategic input on platform design decisions Requirements • 7+ years of experience in Data Engineering / Cloud Data Platforms • Strong hands-on expertise in GCP and/or Databricks • Experience building and migrating enterprise-scale data platforms • Advanced knowledge of Terraform, Dataplex, BigQuery, data warehousing, and lakehouse concepts • Strong proficiency in Python and SQL • Experience with distributed data processing frameworks • Deep understanding of cloud-native architecture patterns • Ability to work in fast-paced environments with tight deadlines What We’re Looking For • Engineers who have built real systems end-to-end • Professionals who understand the trade-offs of architecture decisions • Strong ownership mindset with accountability for long-term outcomes • Opinionated thinkers who can defend decisions while remaining open to alternative perspectives • Individuals who learn from what didn’t work and apply those lessons forward