Senior Data Platform Engineer

We are seeking a Senior Data Platform Engineer to design, build, and operate a scalable, secure, and governed data platform supporting security, audit, operational, and analytics workloads.This role is primarily focused on data engineering and data platform development, including data architecture, ingestion pipelines, data modeling, quality controls, governance, and integration with analytics and security platforms. The successful candidate will have strong experience designing and operating data platforms, building reliable batch and streaming pipelines, and managing large volumes of structured and semi-structured data.The role requires close collaboration with security, infrastructure, and application teams to deliver trusted, high-quality data that enables monitoring, reporting, threat detection, compliance, and business insights.Your key tasksData Platform ArchitectureDesign and evolve scalable data platform architectures for security, audit, operational, and analytics dataDefine data storage strategies, schemas, data models, partitioning, retention, and lifecycle management approachesEvaluate and prototype new technologies and architectures to improve scalability, performance, and cost efficiencyData Engineering PipelinesDesign, build, and maintain batch and streaming data pipelinesDevelop robust ingestion frameworks for logs, audit data, application events, security telemetry, and operational datasetsImplement data transformation, enrichment, normalization, correlation, and aggregation processesEnsure pipelines are reliable, scalable, observable, and resilientData Modeling StorageDesign relational, analytical, and event-based data modelsOptimize database structures, query performance, indexing, and storage efficiencySupport the implementation of data lake, warehouse, and lakehouse concepts where appropriateData Quality GovernanceDefine and implement data quality controls across ingestion and transformation layersDevelop validation, reconciliation, deduplication, and completeness checksSupport data lineage, metadata management, ownership, retention, auditability, and regulatory requirementsImplement controls for sensitive and regulated dataPlatform Integration Analytics EnablementIntegrate data from diverse internal and external platforms, applications, databases, APIs, and messaging systemsDeliver curated datasets that support reporting, analytics, observability, compliance, and security operationsSupport integration with SIEM, monitoring, and business intelligence platformsCollaborate with analytics and reporting teams to improve data accessibility and usabilityEngineering AutomationDevelop data engineering services, tooling, and automation using Python and SQLContribute to CI/CD practices for data platform componentsSupport infrastructure automation where required, using Terraform and related toolingMaintain engineering standards, documentation, and operational procedures #J-18808-Ljbffr