Senior data platform engineer / engenheiro de plataforma de dados senior
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Role details
Tech stack
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Job description
To further develop and deploy our CDB, we want to strengthen the team with an experienced Data Platform Engineer who will expand and mature the Kafka infrastructure and Databricks implementation on AWS. This role focuses on secure cluster setup, lifecycle management, performance tuning, Databricks pipeline management and reliability engineering to ensure the data platform runs at enterprise-grade standards.
What You Will Do
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Design, deploy, and maintain secure, highly available Kafka clusters in AWS (MSK or self-managed).
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Perform capacity planning, performance tuning, and proactive scaling.
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Automate infrastructure and configuration using Terraform and GitOps principles.
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Manage and optimize Databricks workspaces, clusters, jobs, and streaming pipelines on AWS.
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Implement observability: metrics, Grafana dashboards, CloudWatch alarms.
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Develop runbooks for incident response, disaster recovery, and rolling upgrades.
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Ensure compliance with security and audit requirements (ISO27001).
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Collaborate with development teams to provide Kafka best practices for .NET microservices and Databricks streaming jobs.
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Conduct resilience testing and maintain documented RPO/RTO strategies.
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Drive continuous improvement in cost optimization, reliability, and operational maturity.
Requirements
5+ years of experience in data platform, cloud platform, SRE, DevOps, or infrastructure engineering roles, including at least 3 years of hands-on experience operating Kafka in production environments.
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Strong knowledge of Kafka internals: partitions, replication, ISR, controller quorum, KRaft.
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Expertise in AWS services: VPC, EC2, MSK, IAM, Secrets Manager, networking.
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Familiarity with Databricks Structured Streaming and Kafka Connect
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Proven experience with TLS/mTLS, SASL/SCRAM, ACLs, and secure cluster design. Proficiency in Infrastructure as Code (Terraform preferred).
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Familiarity with CI/CD pipelines for cluster and topic configuration.
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Monitoring and alerting using Grafana, CloudWatch, and log aggregation.
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Disaster recovery strategies.
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Strong scripting skills (Bash, Python) for automation and tooling.
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Excellent documentation and communication skills.
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At least Upper-Intermediate level of spoken and written English.
Bonus Points
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Cloud Certifications, preferably AWS
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Knowledge of Schema Registry (Protobuf) and schema governance.
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Previous experience working with geospatial data.
About the company
At Fugro, we believe in alignment, autonomy, and personal accountability throughout the product life cycle. Our collaborative work environment blends the flexibility of remote work with in-office collaboration, fostering a culture built on trust.
About Fugro
Fugro is the world’s leading independent provider of geo-intelligence and asset integrity solutions for large construction, infrastructure, and natural resources. We collect and analyze data about the Earth and the structures built upon it, providing comprehensive information and advice to our clients to help them make better decisions about their assets and projects. We rely on innovation to push the transition towards net-zero carbon, safe infrastructure and climate resilience to deliver on our promise to create a safe and livable world.
Why would you join us?
International Geo-data environment - We work for and with the entire world. The Earth is fascinating, as are the people on it. We work hard to create and maintain an inclusive culture. Challenging projects and exciting opportunities - We are ahead of the curve and have the best projects to work on. In addition, exciting opportunities arise around the world every day. Freedom to grow faster - If you are prepared to take the initiative, ample opportunities locally or worldwide await you at Fugro.
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