Data Platform Engineering Manager - GoPuff

Job Title: Data Platform Engineering Manager
Job Location: Miami, FL
Job Listing URL: https://jobs.lever.co/gopuff/17a5b5d2-67f2-4668-8c5e-b922eaef0c5b
Job Description: Overview:

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 hybrid (Tues-Thurs in office) in either Philadelphia, PA or Aventura, FL.
You Will:
Lead and mentor a team of Data Platform Engineers to develop Gopuff’s central data platform, fostering a collaborative and innovative team culture
Drive continuous improvement within the team by developing practices around professional development, performance management, and hiring
Provide clear technical direction and support for the team, ensuring the successful execution of data platform projects and initiatives
Collaborate with engineering and product leadership to translate business requirements into effective technical solutions
Develop and promote best practices for data collection, storage, and processing that impact the company-wide data strategy across Gopuff’s data lake and warehouse
Architect and implement large-scale data platforms that enable analytics, data science, and machine learning in a multi-cloud environment
Partner with software and analytics engineering teams to establish data contracts and improve data quality at every stage of the data lifecycle
Manage project timelines, resource allocation, and team performance, ensuring that deliverables are met on schedule and within scope
You Have:
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