Senior Data Engineer– Customer Data Platform

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data architectures and advanced engineering solutions across cloud, on-premises, and hybrid environments. This role will be instrumental in enabling enterprise analytics, customer intelligence, personalization, and AI-driven data products within our Customer Data Platform (CDP). The ideal candidate will provide technical leadership, mentor engineering teams, and drive the evolution of modern data platforms, ensuring high performance, scalability, reliability, and operational excellence. Success in this role will be measured by solution effectiveness, platform scalability, system performance, delivery excellence, and contribution to the growth of engineering capabilities. Key Responsibilities Data Engineering & Architecture • Design, develop, and implement scalable data engineering solutions supporting analytics, reporting, visualization, and customer intelligence initiatives. • Architect and manage enterprise-grade data platforms across cloud, hybrid, and on-premises environments. • Build, optimize, and maintain batch, real-time, and near real-time data pipelines. • Design and operate low-latency, highly available APIs supporting large-scale data applications. • Develop high-throughput data pipelines to support Agentic AI workloads and multi-agent orchestration frameworks. • Design, implement, and maintain enterprise-scale Graph Databases and Knowledge Graph solutions. • Perform data discovery, profiling, wrangling, and transformation across diverse structured and unstructured data sources. • Lead development of large-scale data processing frameworks using Databricks and Apache Spark technologies. • Design and optimize relational, analytical, and NoSQL data models. Required Qualifications Education • Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related field. • Equivalent practical experience will also be considered. Experience • 1-3 years of hands-on experience in Data Engineering and Data Platform development. • Proven experience designing, building, and supporting enterprise-scale data solutions. • Strong experience with cloud-native data architectures and migration initiatives. • Demonstrated technical leadership, mentoring, and stakeholder management experience. Technical Skills Core Data Engineering • Strong expertise in Python and SQL for large-scale data engineering solutions. • Advanced experience building complex ETL/ELT pipelines and distributed data processing systems. • Expertise in data modeling, data warehousing, data governance, and data quality frameworks. • Expertise in Azure cloud services, databricks, snowflake tools. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, finance, procurement, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across technology, analytics, strategy, finance, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.