
Data & ML Engineer
EssilorLuxottica Group27 days ago
Dallas, TX, USASenior
Responsibilities
- Design, develop, and operate large-scale data ingestion, transformation, and storage pipelines.
- Manage ML infrastructure, CI/CD, DevOps, and MLOps pipelines supporting model training and deployment.
- Optimize platform performance, cost, reliability, and availability.
- Manage data security, governance, and regulatory compliance across platforms.
- Collaborate with Applied Data Scientists to productionize models.
- Design ETL/ELT workflows using Azure Data Factory and orchestration tools.
- Structure Azure Data Lake, Lakehouse, and Synapse environments for scalable analytics.
- Organize data formats, schemas, and versioning using Delta, Parquet, JSON, and CSV.
- Build reusable data pipelines and ML components.
- Implement monitoring, logging, alerting, automation, and infrastructure-as-code practices.
- Lead solution design, troubleshooting, and root-cause analysis for data and ML pipelines.
- Mentor engineers on cloud-native, big data, and MLOps practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer, ML Engineer, or Platform Engineer.
- Strong hands-on experience with Azure cloud services and big data platforms.
- Proficiency in Python, SQL, Scala, and scripting languages.
- Strong experience building production-grade data pipelines.
- Ability to independently own and deliver complex data and ML engineering solutions end-to-end.
- Preferred: master’s degree in Computer Science, Engineering, or a related discipline.
- Preferred: experience with Azure Databricks, Spark, Synapse, MLflow, Docker, AKS, APIs, and containerized ML workloads.
- Preferred: experience with Azure Data Factory or Airflow.
- Preferred: exposure to SAP CDC and enterprise data integration.
- Ability to translate analytical requirements into scalable engineering solutions and collaborate with data scientists and business-facing teams.
Benefits
- Benefits may include health care, retirement savings, paid time off/vacation, and employee discounts.
- The position is full-time.
- The employer states that this position is not available for visa sponsorship or transfer and requires authorization to work in the United States.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksDockerGoogle Cloud PlatformKubernetesMLflowPythonScalaSQL
Categories
Data EngineeringML Engineering
About EssilorLuxottica Group
EssilorLuxottica designs, manufactures, and distributes ophthalmic lenses, frames, and sunglasses for consumers and eye‑care professionals through wholesale, retail chains, and e‑commerce. Its portfolio includes lens technologies such as Varilux, Crizal, Transitions, and fashion brands like Ray‑Ban, Oakley, Persol, and Oliver Peoples, plus retailers Sunglass Hut, LensCrafters, Vision Express, and Target Optical. Formed in 2018 from the merger of Essilor and Luxottica, the company is headquartered in Paris and publicly traded on Euronext Paris.