• Architect, build, and optimize distributed data pipelines using Apache Spark in a high‑volume, mission‑critical environment. • Design and maintain enterprise Lakehouse architecture with Delta Lake, ensuring ACID compliance, lineage, auditability, and data governance. • Develop automated ingestion frameworks (batch, streaming, and event‑driven) across multiple cloud services and integration points. • Enable machine‑learning workflows by preparing feature‑ready datasets and establishing reproducible ML deployment patterns. • Lead platform‑wide data quality, access control, and cataloging frameworks. • Implement advanced cost‑optimization, cluster tuning, and performance engineering strategies. • Collaborate with Finance, BI, Operations, and ML teams to translate complex business needs into scalable data solutions. • Own production reliability, troubleshooting, and root‑cause analysis for data and ML pipelines.

• Build, maintain, and optimize dashboards, reports, and data models using Power BI and other visualization tools. • Design, build, and maintain data ETL pipelines from sources such as SQL databases, SharePoint, and Excel • Collaborate with end users and technical resources to understand and integrate data outputs into visualizations effectively. • Translate complex data findings into clear, digestible insights for stakeholders to support data-driven decision-making. • Ensure data accuracy, consistency, and integrity across reports and dashboards.

• Provide first hand support to business units with respect to their adhoc data and reporting requests • Works with internal and external customers and suppliers to understand the business requirements behind requested computing initiatives • Develops and deploys reports and dashboards in SSRS and Power BI • Provide inputs on data sources and quality into high-level data flow architecture • Design and develop ETL and integration solutions • Implement design patterns and industry best-practices to develop secure robust integration applications • Actively collaborate with developers and other project resources • Questions existing processes and procedures (both administrative and technical), and offers suggestions and opinions for continuous improvement. • Communicates technical ideas and concepts in non-technical language to the business. • Takes directions from and works with senior members of the development team on projects and tasks • Adheres to and promotes the environmental, health & safety policies of AFL. • Ability to effectively communicate with and educate business users and mid/senior management about data warehousing/business intelligence technology in business terms.

• Responsible for the building, implementation, and ongoing delivery of SitusAMC’s enterprise business intelligence strategy • Manage the processes involved in business intelligence and may manage staff • Oversee the approach and technology to disperse critical information and insights to the organization and clients • Partner with business and technology team members to expand the business intelligence infrastructure of operational systems, data lakes and data warehouses • Manage the software development lifecycle of the business intelligence platform • Advocate the usage of data and business intelligence across the organization • Create complex t-SQL statements and stored procedures and queries to extract data • Build dashboards, data extracts, and visualizations