Senior Manager, Data Engineering

Job not on LinkedIn

🕒 6 days ago

🌽 Illinois, Massachusetts, +1 more states – Remote

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

💵 $212k - $259k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

We provide commercial real estate services for corporations and investors across the globe that save money, increase productivity and improve sustainability.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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