Senior Data Platform Engineer

Job summary

The Senior Data Platform Engineer is tasked with designing, building, and operating a scalable and secure data platform that supports security, audit, and analytics workloads. This role involves developing batch and streaming data pipelines, implementing data quality controls, and integrating data from various sources using technologies such as Python and SQL, while adhering to CI/CD practices.

Benefits

Qualifications

• 8+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field
• Strong SQL expertise, including schema design, data modeling, query optimization, indexing, and performance tuning
• Experience designing and operating production-grade batch and/or streaming data pipelines
• Strong proficiency in Python and SQL
• Experience integrating data from multiple sources, platforms, APIs, and event streams
• Strong understanding of data quality, schema evolution, lineage, governance, and lifecycle management
• Familiarity with CI/CD concepts and Git-based development practices

Responsibilities

• Design and evolve scalable data platform architectures
• Define data storage strategies, schemas, data models, partitioning, retention, and lifecycle management approaches
• Design, build, and maintain batch and streaming data pipelines
• Develop robust ingestion frameworks for logs, audit data, application events, security telemetry, and operational datasets
• Implement data transformation, enrichment, normalization, correlation, and aggregation processes
• Define and implement data quality controls across ingestion and transformation layers
• Integrate data from diverse internal and external platforms, applications, databases, APIs, and messaging systems
• Develop data engineering services, tooling, and automation

Skills

Relocation