Data Platform Engineer
hace 4 días
Join SafeGraph as a Senior Platform Engineer , where you'll design and scale the backbone of our global data infrastructure powering industry‑leading location intelligence products. In this role, you'll work alongside world‑class engineers , data scientists , and platform experts to build the systems that make SafeGraph data fast, reliable, and accessible to customers everywhere. At SafeGraph, our mission is to unlock the world's most accurate geospatial data to power innovation. Our platform ingests, processes, and delivers billions of records daily; and as part of our Platform Engineering team, you’ll shape how data flows across our ecosystem. From optimizing large‑scale compute on AWS to building elegant abstractions that make complex distributed systems simple to use, your work will directly accelerate how data‑driven products come to life. What You’ll Do Design, build, and maintain core platform infrastructure across AWS (EKS, EMR, Glue, S3, Terraform). Develop scalable systems to orchestrate 10,000s of data processing jobs efficiently and reliably. Partner with data and ML teams to deliver robust, cloud‑native environments for large‑scale computation. Automate infrastructure provisioning and deployments using Terraform, GitHub Actions, GitLab CI, or Harness. Optimize cost, reliability, and performance across clusters, data stores, and compute workloads. Build tooling and abstractions to simplify developer workflows and improve platform usability. Implement observability and monitoring best practices using Prometheus, Grafana, and Dynatrace. Collaborate cross‑functionally to evolve our architecture and scale our data platform to the next level. Requirements BS in Computer Science, Engineering, or equivalent experience. 3+ years of experience building and operating distributed systems or data platforms. Strong proficiency in Scala, Java, or Python. Hands‑on experience with AWS services (EKS, EMR, Glue, S3, ECR) and infrastructure‑as‑code (Terraform). Deep understanding of containerization (Docker, Kubernetes) and CI/CD pipelines (GitHub, GitLab CI, or Harness). Solid grasp of cloud networking, resource management, and cost optimization. Familiarity with observability tools (Prometheus, Grafana, Dynatrace, LogDNA/Mezmo). Excellent problem‑solving, communication, and collaboration skills. Preferred Qualifications Experience with data engineering tools such as Apache Spark, Databricks, or Airflow. Knowledge of modern data storage formats (Apache Iceberg, Delta Lake) and cloud data warehouses (Snowflake, Redshift). Familiarity with ML or AI infrastructure and data pipelines. Experience building developer platforms or frameworks used across teams. #J-18808-Ljbffr
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