Staff Software Engineer (Data)
Jones Lang LaSalle Incorporated3 months ago
Guadalajara, MexicoStaff+
Responsibilities
- Define and drive a unified, governed, scalable enterprise data platform strategy.
- Provide architectural standards, design patterns, technical leadership, and strategic direction across data engineering teams and initiatives.
- Architect integrations for structured and unstructured data, supporting analytics, AI/ML model development, and real-time insights.
- Design and develop full-stack applications and platform capabilities for intelligent search, recommendations, and automated insight generation.
- Design enterprise integration frameworks, API strategies, integration patterns, and Model Context Protocol implementations.
- Architect production machine learning and AI platforms with MLOps for model training, deployment, monitoring, and governance.
- Design semantic layers, ontologies, and knowledge graphs for human and AI/ML data discovery.
- Lead architecture reviews, technology evaluations, proofs of concept, and adoption of emerging technologies.
- Establish DevOps, observability, data governance, lineage, compliance, and production-readiness practices.
- Partner with executive, product, engineering, and business leaders to align technical roadmaps with business strategy.
- Mentor data engineers, conduct technical reviews, and communicate technical recommendations to executive and diverse stakeholder audiences.
Requirements
- 10+ years of experience in data engineering and Big Data development, including enterprise-scale fault-tolerant data platforms.
- 5+ years of hands-on experience with cloud platforms such as Azure or AWS and services including Databricks, Azure Data Factory, Synapse, AWS Glue, EMR, and Redshift.
- Expert proficiency in multiple server-side languages including Python, Java, and Scala, with deep PySpark/Spark expertise.
- Extensive backend software engineering experience with Java, Spring Boot, and microservices architectures.
- Expertise in data modeling, data architecture, and performance-, scalability-, maintainability-, and cost-conscious data systems.
- Deep understanding of machine learning lifecycles, MLOps, model governance, and production ML systems.
- Experience with SQL, NoSQL, vector, and knowledge/graph databases including Azure SQL, PostgreSQL, Cosmos DB, MongoDB, Cassandra, Pinecone, Weaviate, Neo4j, and Amazon Neptune.
- Proven technical leadership, mentoring, cross-functional influence, and experience optimizing complex data systems.
- Preferred master's degree in engineering, data science, or a related field.
- Experience with React, Angular, or Vue.js and architecting full-stack solutions.
- Experience with semantic layers, ontologies, knowledge graphs, streaming architectures, Kafka, Spark Streaming, or Flink.
- Experience designing CI/CD pipelines, infrastructure as code with Terraform or CloudFormation, and container orchestration with Kubernetes, EKS, or AKS.
- Experience with LLM workflows, prompt engineering, RAG architectures, and LangChain, LlamaIndex, CrewAI, or AutoGen.
- Familiarity with AI-powered development tools, data governance, GDPR, CCPA, enterprise security, and technical publications or open-source contributions.
Benefits
- On-site work arrangement in Jalisco, Mexico.
- JLL describes opportunities to grow meaningful careers and contribute to global technology innovation.
Tech Stack
Amazon RedshiftAngularApache CassandraApache FlinkApache KafkaApache SparkAWSAzureDatabricksJavaKubernetesMongoDBNeo4jPostgreSQLPythonReactScalaSpring BootSQLTerraformVue.js
Categories
BackendData Engineering
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).