Senior Manager, Data Engineering

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🕒 Maio 30

🌽 Illinois, Massachusetts, +1 estados a mais – Remoto

🌽 Illinois – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $212.000 - $259.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Jones Lang LaSalle Americas, Inc.

SiteLinkedInTodas as Vagas

10.000+ funcionários

Prestamos serviços imobiliários comerciais para empresas e investidores em todo o mundo, ajudando a reduzir custos, aumentar a produtividade e melhorar a sustentabilidade.

Descrição

• Lead the Enterprise Platform data engineering function—defining the roadmap, operating model, and standards that implement JLL’s company data strategy and data quality programs at enterprise scale. • Align team execution with JLL’s enterprise data strategy while delivering the platform capabilities that all business units depend on. • Define and drive the Enterprise Platform data strategy—implementing JLL’s company data strategy and consolidating siloed data sources into a unified, governed, and scalable data architecture. • Provide technical leadership across the Enterprise Platform Data Engineering team and related initiatives, setting architectural standards, design patterns, and best practices. • Architect sophisticated integration strategies for structured and unstructured data sources. • Design and implement enterprise-grade data integration frameworks.

🎯 Requisitos

• 3+ years of experience directly managing data engineers or equivalent software/data teams, including performance management, staffing, and delivery accountability. • 10+ years of experience in data engineering and Big Data development, with extensive experience architecting and delivering enterprise-scale, fault-tolerant data platforms. • 5+ years of hands-on experience with cloud platforms such as Azure or AWS , including advanced services (e.g., Databricks , Azure Data Factory , Synapse , AWS Glue , EMR , Redshift ). • Expert-level proficiency in multiple server-side programming languages including Python , Java , and Scala , with deep expertise in PySpark/Spark for distributed data processing at scale. • Proven expertise in data modeling, data architecture, and designing data systems that balance performance, scalability, maintainability, and cost. • Deep understanding of machine learning lifecycle, MLOps practices, model governance, and production ML systems. • Extensive experience working with diverse data technologies including SQL databases (e.g., Azure SQL , PostgreSQL ), NoSQL databases (e.g., Cosmos DB , MongoDB , Cassandra ), and AI-centric databases such as vector databases (e.g., Pinecone , Weaviate ) and knowledge/graph databases (e.g., Neo4j , Amazon Neptune ). • Demonstrated ability to architect and optimize complex data systems for performance, reliability, and cost-efficiency. • Proven track record of technical leadership, including mentoring senior engineers and leading cross-functional initiatives.

🏖️ Benefícios

• 401(k) plan with matching company contributions • Comprehensive Medical, Dental & Vision Care • Paid parental leave at 100% of salary • Paid Time Off and Company Holidays • Early access to earned wages through Daily Pay