• Design, configure, and implement data replication between SAP HCM and other SAP systems (e.g., SuccessFactors, EC Payroll, SAP S/4HANA). • Develop and maintain integration interfaces using SAP CPI, including iFlows, adapters, and mappings. • Implement, configure, and support both BIB (Business Integration Builder) and PTP (Point to Point) replication scenarios. • Lead and execute data migration and transformation activities for legacy-to-SAP and SAP-to-SAP HCM transitions. • Lead work in collaborating with other project team members on necessary data transformations to/from SAP SuccessFactors necessary for replication and data migration scenarios. • Analyze, map, and transform data between source and target systems ensuring accuracy, consistency, and completeness. • Work with stakeholders to understand functional requirements and translate them into scalable technical solutions for the project lifecycle as related to both replications and data. • Perform data validation, testing, and quality assurance in coordination with functional teams. • Provide integration and data support during cutover, go-live, and post-production phases. • Work with other project team members to execute cutover items related to data, replications, and migration per project phase. Including project planning with the project managers. • Document integration architecture, interface designs, and migration plans. • Ensure compliance with SAP best practices, security standards, and data governance policies.

• Responsibilities and duties not specified in the opening

• Design, build, and optimize distributed query solutions using Starburst Enterprise Platform (SEP) and Trino • Enable secure and governed access to data across multiple sources including cloud platforms, data lakes, and enterprise data warehouses • Implement and enhance data federation, performance tuning, and query optimization strategies • Support identity and access management (IAM) and data governance requirements in a federal environment • Develop and maintain backend services, APIs, and platform components supporting the data ecosystem • Contribute to CI/CD pipelines, observability, and platform reliability initiatives • Collaborate with product, UX, security, and infrastructure teams to deliver scalable and secure data solutions • Troubleshoot performance issues in distributed and cloud-native environments

• Build and maintain ETL/ELT pipelines using Python and SQL • Develop ingestion workflows with AWS Firehose, S3, and related services • Create and optimize dbt models, tests, and incremental logic • Tune Snowflake queries and warehouse usage for cost and performance • Operate and improve Airflow DAGs for reliable execution and monitoring • Maintain high data quality, data integrity, and pipeline SLA commitments • Bring clarity to ambiguous requirements and propose practical solutions • Build feature pipelines to support ML workflows • Support model deployment, monitoring, and automated retraining • Add data validation and quality checks across ML and analytics pipelines.