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Penske Logistics · 1 month ago

Manager - Data Engineering

100 Gundy Drive, Reading, PA, 19607, US

Full-time

Onsite

Mid, Senior Level

Penske Logistics is a leading logistics company that focuses on advanced analytics and data solutions. The Manager of Data Engineering is responsible for leading the design and implementation of enterprise-level data architectures and analytics systems while overseeing a team of data engineering professionals to drive data-driven decision-making across the organization.

LogisticsSupply Chain ManagementTransportation

H1B Sponsor Likely

Responsibilities

Lead and mentor a team of data engineers, architects, and analysts to deliver scalable, high-performance data solutions

Define and execute enterprise data strategy, architecture, and governance frameworks

Collaborate with business stakeholders, product owners, and IT managers to define sprint plans and deliverables using Agile methodologies

Drive adoption of Generative AI capabilities for data summarization, metadata enrichment, and intelligent query generation

Oversee design and implementation of logical and physical data models aligned with business requirements and data architecture standards

Manage and enhance the Penske Enterprise Data Warehouse supporting domains such as Lease, Rental, Sales, Maintenance, Connected Fleet, Accounting, and Finance

Architect and oversee data ingestion, transformation, and engineering pipelines using Talend, SAP BODS, Spark EMR, Snowflake, Airflow, and other tools

Develop and maintain Spark-based reusable frameworks for data engineering and data quality validation

Design and deploy Python microservices for REST APIs within Kubernetes (K8s) environments

Implement observability practices across data platforms to ensure reliability, performance, and traceability of data workflows

Lead implementation of machine learning, Generative AI, and predictive analytics solutions, including data preparation and model deployment in cloud environments

Prepare deployment plans, initiate tollgate and change control meetings

Communicate release details to stakeholders and publish release notes

Monitor execution of data integration workflows in production and manage issue resolution with short-term and long-term solutions

Other projects / tasks as assigned

Qualification

Data architectureETL pipelinesMachine learningGenerative AIPythonTalendSAP BODSSnowflakeSpark EMRAirflowKubernetesAgile methodologiesData governanceData quality validationCross-functional collaboration

Required