Senior Data Engineer (Databricks)

MexicoFull-TimeSeniorSoftware Engineering

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Design, build, and optimize scalable data pipelines and lakehouse architectures in Databricks using the medallion model (bronze, silver, gold)
Develop and maintain ETL/ELT processes in Python and PySpark, ensuring high data quality, performance, and reliability
Implement and enforce data governance, security, encryption, and PII protection standards across the platform
Collaborate with engineering and business teams to translate requirements into dimensional models and support migration from legacy systems to AWS-based Databricks environments

Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced certifications in Data Engineering or Cloud are highly valued
5+ years of progressive experience in Data Engineering building scalable, production-grade data platforms
3+ years of deep hands-on experience with Databricks and modern Lakehouse architecture in enterprise environments
Expert-level proficiency in Python and PySpark, designing high-performance distributed data processing pipelines
Strong expertise designing and implementing dimensional data models (Star Schema, SCDs, fact/dimension load strategies) for analytical workloads
Proven experience implementing and optimizing medallion architecture (bronze, silver, gold) with strong data quality validation frameworks
Advanced knowledge of data governance, encryption standards, data lineage, anonymization, and secure handling of highly sensitive PII data (especially in regulated environments)
Strong experience operating in AWS cloud environments, including performance tuning, cost optimization, and cloud-native data services
Databricks certification strongly preferred and considered close to mandatory for senior-level candidacy
Experience leveraging AI-assisted development tools or agentic coding platforms to enhance productivity and data engineering workflows is a strong plus