Senior Data Analytics Engineer (Manager Level | Individual Contributor)

*For Pooling Purposes* What You'll Do Lead Enterprise Data Modernization Initiatives Drive the migration of legacy reporting and analytics environments to modern cloud-based platforms. Analyze existing BI models, SQL workloads, and reporting logic to identify optimization opportunities. Convert complex business and reporting logic into scalable cloud-native data solutions. Ensure data quality, accuracy, and seamless transition through comprehensive validation and testing. Design & Build Scalable Data Platforms Develop, enhance, and maintain enterprise-grade data pipelines and data products. Build efficient data transformation frameworks using modern analytics engineering practices. Optimize data models, processing frameworks, and reporting performance. Establish scalable solutions that support future analytics, reporting, and machine learning initiatives. Partner with Business & Analytics Leaders Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions. Serve as a trusted advisor on data architecture, reporting strategy, and platform capabilities. Support strategic and ad hoc analytics requests through reliable, well-governed data assets. Communicate technical concepts effectively to both technical and non-technical audiences. Drive Operational Excellence Implement best practices for data governance, version control, documentation, and deployment. Monitor platform performance and proactively identify optimization opportunities. Contribute to continuous improvement initiatives across analytics and data engineering functions. What We're Looking For Required Qualifications Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field. 4+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or Data Platform Development . Strong expertise in SQL , including advanced query development, optimization, and stored procedure logic. Experience working with Power BI , semantic models, and DAX-based reporting environments. Hands-on experience with Spark, PySpark, Spark SQL , or similar big data technologies. Proficiency in Python for data processing, automation, and analytics. Experience using Git and modern software development practices. Strong stakeholder management and requirements-gathering skills. Excellent verbal and written English communication skills. Preferred Qualifications Experience with Databricks , Delta Lake, Databricks SQL, DLT Pipelines, and Unity Catalog. Experience leading or contributing to cloud migration and data modernization initiatives. Knowledge of modern data warehousing, lakehouse architecture, and analytics platforms. Databricks, Azure, AWS, or related cloud certifications. Experience supporting high-volume, customer-facing, or enterprise-scale operations. Exposure to analytics, machine learning, or data science environments. Why Join Us? Own High-Impact Data Initiatives Take the lead on strategic data transformation projects that directly influence business performance and decision-making. Work Directly with Global Leadership Partner with senior leaders and cross-functional teams in a highly collaborative, fast-paced environment where your expertise is valued. Shape a Modern Analytics Ecosystem Play a foundational role in building scalable cloud-based data platforms that enable advanced analytics, AI, and future innovation. Accelerate Your Career Gain exposure to modern technologies, enterprise-scale datasets, and complex business challenges while expanding your leadership influence as a senior individual contributor.