Senior Data Platform Engineer

ppWe 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. /ppThis 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. /ppThe 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. /ph3Your key tasks /h3h3Data Platform Architecture /h3ulliDesign and evolve scalable data platform architectures for security, audit, operational, and analytics data /liliDefine data storage strategies, schemas, data models, partitioning, retention, and lifecycle management approaches /liliEvaluate and prototype new technologies and architectures to improve scalability, performance, and cost efficiency /li /ulh3Data Engineering Pipelines /h3ulliDesign, build, and maintain batch and streaming data pipelines /liliDevelop robust ingestion frameworks for logs, audit data, application events, security telemetry, and operational datasets /liliImplement data transformation, enrichment, normalization, correlation, and aggregation processes /liliEnsure pipelines are reliable, scalable, observable, and resilient /li /ulh3Data Modeling Storage /h3ulliDesign relational, analytical, and event-based data models /liliOptimize database structures, query performance, indexing, and storage efficiency /liliSupport the implementation of data lake, warehouse, and lakehouse concepts where appropriate /li /ulh3Data Quality Governance /h3ulliDefine and implement data quality controls across ingestion and transformation layers /liliDevelop validation, reconciliation, deduplication, and completeness checks /liliSupport data lineage, metadata management, ownership, retention, auditability, and regulatory requirements /liliImplement controls for sensitive and regulated data /li /ulh3Platform Integration Analytics Enablement /h3ulliIntegrate data from diverse internal and external platforms, applications, databases, APIs, and messaging systems /liliDeliver curated datasets that support reporting, analytics, observability, compliance, and security operations /liliSupport integration with SIEM, monitoring, and business intelligence platforms /liliCollaborate with analytics and reporting teams to improve data accessibility and usability /li /ulh3Engineering Automation /h3ulliDevelop data engineering services, tooling, and automation using Python and SQL /liliContribute to CI/CD practices for data platform components /liliSupport infrastructure automation where required, using Terraform and related tooling /liliMaintain engineering standards, documentation, and operational procedures /li /ul /p #J-18808-Ljbffr