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. Transform Enterprise Data. Build the Future of Analytics. Are you passionate about designing modern data platforms and solving complex analytics challenges at scale? We're looking for a Senior Data Analytics Engineer to lead the evolution of our next-generation data ecosystem. This is a highly visible individual contributor role for a seasoned data professional who thrives at the intersection of data engineering, analytics, business intelligence, and cloud modernization . You will play a critical role in transforming legacy reporting environments into scalable, high-performance cloud-based solutions while partnering with global stakeholders to deliver insights that drive business decisions. If you enjoy owning end-to-end data solutions, optimizing enterprise reporting, and building robust data pipelines that empower analytics and AI-driven initiatives, this opportunity is for you.