Senior Data Analytics Engineer (Manager Level | Individual Contributor)

*For Pooling Purposes*

What Youll 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.

Qualifications :

What Were Looking For

Required Qualifications

• Bachelors 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.

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time