Senior Manager, Data Engineering
Core
Lead the Enterprise Platform Data Engineering team to define strategy, architecture, and standards for unified, governed data platforms powering analytics, AI/ML, and decision-making across JLL's real estate business.
Role type
Senior Manager, Data Engineering (People Leadership & Technical Strategy)
Builds
Enterprise-scale data platforms, pipelines, and services enabling data governance, MLOps, and AI/ML model inputs.
Domain
Commercial Real Estate / Enterprise Data Engineering & AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
People management (3+ years), Enterprise data engineering architecture (10+ years), Cloud platforms (Azure/AWS), Server-side programming (Python/Java/Scala), PySpark/Spark, Data modeling & architecture, MLOps & ML lifecycle, SQL/NoSQL/AI databases, Technical leadership & mentoring
Preferred skills
Semantic layers & knowledge graphs, Streaming architecture (Kafka/Spark Streaming), DevOps & IaC (Terraform/Kubernetes), LLM workflows & RAG architectures, Data governance frameworks
Technologies
Azure, AWS, Databricks, Azure Data Factory, Synapse, AWS Glue, EMR, Redshift, PySpark, Spark, Python, Java, Scala, SQL, PostgreSQL, Cosmos DB, MongoDB, Cassandra, Pinecone, Weaviate, Neo4j, Amazon Neptune, Kafka, Flink, Terraform, Kubernetes, LangChain, LlamaIndex, CrewAI
Responsibilities
Define and drive Enterprise Platform data strategy and architecture; Provide technical leadership and set architectural standards; Architect data integration strategies for structured/unstructured data; Lead design of platform capabilities for intelligent search and recommendations; Design enterprise-grade data integration frameworks and API strategies; Partner with data science teams to establish MLOps-compatible pipelines; Guide design of semantic layers and knowledge graphs; Lead data architecture reviews and technology evaluations; Establish DataOps practices and data quality standards; Partner with executive leadership to align data capabilities with business strategy; Hire, mentor, and grow data engineers; Serve as the data engineering voice in cross-functional forums.
Seniority
Senior Manager, hands-on IC with people leadership