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.