Senior Manager, Data Engineering

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Senior Manager Data Engineering JLLT

What this job involves:

We are seeking an experienced Senior Manager Data Engineering to lead the Enterprise Platform Data Engineering team at JLL this role you will drive people leadership delivery excellence and technical direction for data platforms and pipelines that power JLLs enterprise data strategy data quality initiatives and foundational data capabilities across the organization. You will set strategic priorities with Enterprise Platform and technology leadership build and mentor a high-performing engineering team and ensure reliable governed data assets that scale with the business. This is an opportunity to shape how data engineering enables data governance master data management and enterprise-wide data discoverabilitydirectly contributing to JLLs mission to reimagine real estate through technological innovation.

What your day-to-day will look like:

• Lead and mentor a team of data engineers providing technical guidance performance management and career development while fostering a culture of excellence and continuous improvement

• Define and execute the Enterprise Platform Data Engineering roadmap aligning team priorities with JLLs enterprise data strategy and translating business challenges into measurable technical outcomes

• Architect and oversee enterprise-scale data platforms and pipelines that consolidate siloed data sources into unified governed and scalable foundations for analytics AI/ML and real-time decision-making

• Partner with cross-functional stakeholdersincluding Product Business Data Science and Executive Leadershipto deliver trusted data capabilities that enable advanced analytics semantic layers and intelligent data discovery

• Establish and drive DataOps best practices including CI/CD pipelines data quality frameworks observability lineage tracking and compliance controls to ensure production-ready auditable data products

• Guide technical architecture reviews technology evaluations and proof-of-concept initiatives to drive adoption of modern data engineering practices and emerging technologies across the organization

• Serve as the data engineering voice in executive forums communicating roadmaps trade-offs and strategic direction with clarity to diverse technical and non-technical audiences

Required Qualifications:

• 3 years of direct people management experience leading data engineers or equivalent technical teams including staffing performance management and delivery accountability

• 10 years of experience in data engineering and Big Data development with proven expertise architecting and delivering enterprise-scale fault-tolerant data platforms

• 5 years of hands-on experience with cloud platforms (Azure or AWS) including advanced services such as Databricks Azure Data Factory Synapse AWS Glue EMR or Redshift

• Expert-level proficiency in multiple server-side programming languages (Python Java Scala) with deep expertise in PySpark/Spark for distributed data processing at scale

• Proven expertise in data modeling data architecture and designing scalable data systems that balance performance maintainability and cost

• Deep understanding of machine learning lifecycle MLOps practices model governance and production ML systems

• Extensive experience with diverse data technologies including SQL databases (Azure SQL PostgreSQL) NoSQL databases (Cosmos DB MongoDB Cassandra) and AI-centric databases such as vector databases (Pinecone Weaviate) and graph databases (Neo4j Amazon Neptune)

Preferred Qualifications:

• Masters degree in Computer Science Engineering Data Science or a related field

• Deep expertise designing and implementing semantic layers ontologies and knowledge graphs for enterprise data systems

• Extensive experience with streaming architectures using Kafka Spark Streaming Flink or similar technologies

• Expert-level understanding of DevOps principles with hands-on experience in CI/CD pipelines infrastructure as code (Terraform CloudFormation) and container orchestration (Kubernetes EKS AKS)

• Significant experience with LLM-driven workflows RAG (Retrieval-Augmented Generation) architectures and orchestration frameworks (LangChain LlamaIndex CrewAI AutoGen)

• Experience with data governance frameworks compliance standards (GDPR CCPA) and enterprise security practices

• Published technical articles conference presentations or contributions to open-source projects in data engineering or related fields

This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications location market conditions and internal considerations. Some roles and employees may be eligible for discretionary bonuses benefits or other compensation.

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If this job description resonates with you we encourage you to apply even if you dont meet all of the requirements. Were interested in getting to know you and what you bring to the table!

At JLL we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities we analyze your application for relevant skills experiences and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role yourepursuing.

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