• Analyze, design, and develop software enhancements and products • Lead a diverse team within a major function • Develop and execute strategy and business plans

• Design and implement modern data platform solutions using Azure services including Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks. • Define data architecture frameworks, standards, and principles. • Lead data modernization and cloud migration initiatives. • Build secure and scalable data pipelines to ingest, transform, and store large datasets. • Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and provide architectural guidance. • Optimize performance, security, and cost of data platforms. • Evaluate and recommend new Azure services and tools based on evolving project needs. • Ensure data governance, data quality, and compliance standards are met.

• Develop and deliver innovative solutions aligning with the organization’s goals • Maintain scalable, reliable, consistent, and repeatable systems for company-wide analytics • Design, build, and maintain real-time and batch data pipelines • Ensure data quality, observability, validation, and governance • Collaborate with business, IT, and analytics teams to translate needs into technical solutions • Support integration with enterprise applications like Oracle ERP, Anaplan, Salesforce, and Tableau • Create and maintain technical documentation

• Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from multiple sources. • Build and optimize data lakes / data warehouses / lakehouse structures for efficient reporting and analytics. • Integrate structured and unstructured data from internal and external systems to create a unified and analysis-ready layer. • Ensure data accuracy, consistency, and completeness through validation, cleansing, transformation, and reconciliation checks. • Maintain strong documentation for data pipelines, datasets, Power BI models, and reporting logic. • Develop and maintain Power BI dashboards and reports for business and leadership stakeholders. • Build optimized semantic models in Power BI (star/snowflake schema) for performance and scalability. • Write and optimize DAX measures, calculated columns, and KPIs aligned to business metrics. • Use Power Query (M) for transformations and ensure reporting datasets are refresh-ready and reliable. • Manage Power BI deployments via Power BI Service, including scheduled refresh, workspace access, and report sharing. • Improve dashboard performance by optimizing data model design, relationships, and aggregations. • Collaborate with product managers and business stakeholders to gather reporting requirements and translate them into technical deliverables. • Work in Agile development cycles including sprint planning, daily stand-ups, and sprint reviews. • Perform thorough testing of pipelines and reports to ensure reliability, performance, and data correctness.