Senior Data Operations Engineer – DataOps

Job Description: • Lead the design and implementation of enterprise-scale DataOps platforms and automation frameworks. • Architect and evolve GCP-native data platforms supporting high-throughput batch and real-time workloads. • Design and implement microservices-based data architectures using containerization technologies. • Build and maintain CI/CD pipelines for data workflows, including automated testing and deployment. • Develop Infrastructure as Code (IaC) solutions to standardize and automate platform provisioning. • Implement robust data orchestration, monitoring, and observability capabilities. • Establish and enforce data quality frameworks to ensure reliability and trust in data products. • Support real-time data platforms operating at extreme scale. • Partner with platform squads to deliver self-service data infrastructure products. • Drive best practices for automation, resiliency, scalability, and operational excellence. • Influence technical direction, mentor senior engineers, and lead through ambiguity. Requirements: • 8+ years of progressive experience in DataOps, Data Engineering, or Platform Engineering roles. • Strong expertise in data warehousing, data lakes, and distributed processing technologies (Spark, Hadoop, Kafka). • Advanced proficiency in SQL and Python; working knowledge of Java or Scala. • Deep experience with Google Cloud Platform (GCP) data and infrastructure services. • Expert understanding of microservices architecture and containerization (Docker, Kubernetes). • Proven hands-on experience with Infrastructure as Code tools (Terraform preferred). • Strong background in CI/CD methodologies applied to data pipelines. • Experience designing and implementing data automation frameworks. • Advanced knowledge of data orchestration, monitoring, and observability tooling. • Ability to architect highly scalable, resilient, and fault-tolerant data systems. • Strong problem-solving skills and ability to operate independently in ambiguous environments. Benefits: • Flexible work arrangements • Professional development opportunities Apply tot his job

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