Sap datasphere senior consultant

Descripción del cargo

Requirements
Must to have:
SAP Datasphere (SAP Data Warehouse Cloud).
Enterprise Data Management.
Data Integration and Data Modeling.
ETL / ELT processes.
Integration with SAP and non-SAP systems.
SAP Analytics Cloud (SAC).
Experience providing AMS L2/L3 support for data platforms.
Strong background in data pipeline design, optimization, and monitoring.
Experience with incident management, SLA compliance, and root cause analysis.
Advanced knowledge of semantic modeling, business entities, facts, and dimensions.
Experience implementing federated data access and data virtualization.
Strong understanding of data governance frameworks, lineage, and data quality.
Experience enforcing security, roles, and authorizations in enterprise data platforms.
Knowledge of GDPR, SOX, and industry-specific compliance regulations.
Ability to work with heterogeneous and complex data landscapes.
Experience integrating data from S/4HANA, BW/4HANA, and third-party sources.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent verbal and written communication skills.
Ability to lead workshops and interact with business and technical stakeholders.
Experience mentoring junior consultants and serving as escalation point.
Ability to work in fast-paced AMS and project environments.
8+ years of experience in enterprise data management.
3+ years of experience with SAP Datasphere or SAP Data Warehouse Cloud.

Responsibilities
Design and implement enterprise data architectures using SAP Datasphere.
Define semantic models and business entities to support analytics and reporting.
Establish and optimize data pipelines for SAP and non-SAP data sources.
Implement federated data access and data virtualization strategies.
Provide L2/L3 AMS support for SAP Datasphere incidents and service requests.
Analyze and resolve incidents within SLA timelines, ensuring data availability and accuracy.
Perform root cause analysis for recurring data issues and implement permanent fixes.
Escalate complex technical issues to development teams while maintaining ownership.
Maintain detailed incident logs and resolution documentation for knowledge base.
Configure and optimize data models, hierarchies, KPIs, and measures.
Ensure seamless integration with SAP Analytics Cloud for visualization and insights.
Define and enforce data governance, security, and authorization models.
Implement data quality checks, validation rules, and monitoring frameworks.
Ensure compliance with data privacy and security regulations.
Develop and execute testing and validation plans for data pipelines and models.
Perform performance tuning for queries and analytical workloads.
Provide ongoing AMS support post-go-live, including optimization initiatives.
Recommend continuous improvements based on incident trends and business needs.
Prepare technical documentation, process definitions, and governance guidelines.
Deliver training sessions for business analysts, data engineers, and AMS teams.
Support knowledge transfer activities and internal capability building.

Required Languages:
B2- Advanced 80-95%

Job location(s):
Hybrid, Colombia – México.