On Demand Delivery • Warehousing and Logistics • Mobile Applications • Consumer Technology • Instant Needs
5001 - 10000
💰 Funding Round on 2022-05
October 16
🇺🇸 United States – Remote
💵 $160k - $180k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏗️ Platform Engineer
🗽 H1B Visa Sponsor
On Demand Delivery • Warehousing and Logistics • Mobile Applications • Consumer Technology • Instant Needs
5001 - 10000
💰 Funding Round on 2022-05
Gopuff is seeking a Data Platform Engineering Manager to lead its Data Platform team. This individual will play a major role in shaping the team’s technical direction, leading the team that enables analytics, data science, and machine learning at scale. The candidate will bring strong data and cloud engineering expertise and leadership to influence Gopuff-wide data platforms and architecture. This position will involve a combination of hands-on engineering and people management. The ideal candidate will be an experienced engineering leader with an interest in both the technical and product management aspects of data engineering. This role is remote for NYC candidates. There is ability to go onsite if interested.
5+ years of experience in a data engineering or cloud/infrastructure engineering role. 3+ years of engineering management experience. Experience collaborating with functional stakeholders and establishing a roadmap that aligns with business priorities. Experience with organizational design, team development, hiring, and performance management. Experience building batch data pipelines using DAG-based tools such as Dagster or Airflow. Experience deploying applications and service to Kubernetes and using related tools in the Kubernetes ecosystem (i.e. Helm, ArgoCD, Istio). Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage. Experience in producing and consuming topics to/from Apache Kafka, AWS Kinesis, or Azure Event Hubs. Experience with Infrastructure as code tools such as Terraform. Experience developing real-time data pipelines using frameworks such as Apache Beam, Flink, Storm, Spark Streaming, etc. Experience with data warehouses, data lakes, and their underlying infrastructure. Proficiency in Python, SQL, RESTful API development. Experience with cloud computing platforms such as Azure, AWS. Experience with data governance, schema design, and schema evolution.
Gopuff pays employees based on market pricing and pay may vary depending on your location. NYC Salary Range: $160,000 - $180,000
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