SQL DBA and Data Warehouse Administrator

• Administer, monitor, and optimize Microsoft SQL Server instances, including backups, log shipping/AGs, patching, and security hardening
• Own Data Warehouse operations, including star/snowflake schema design, indexing strategies, partitioning, and performance tuning for large datasets
• Implement and maintain ETL/ELT pipelines, including scheduling, error handling, and data quality checks
• Manage database capacity planning, storage optimization, and version control for DB objects
• Ensure data integrity, governance, lineage, and compliance with GDPR and ISO27001
• Develop and maintain Power BI datasets, semantic models (Tabular), and reports/dashboards following best practices
• Optimize DAX measures and Power Query transformations for performance and usability
• Manage Power BI workspace governance, data gateways, refresh schedules, and report lifecycle in coordination with IT and business teams
• Design, build, and maintain reports and data models integrated with SAP Datasphere
• Collaborate with SAP teams to define data contracts, ensure model alignment, and troubleshoot data access and performance issues
• Standardize semantic definitions and KPIs across SAP and non-SAP sources to deliver consistent analytics
• Implement role-based access control (RBAC), encryption at rest/in transit, auditing, and policy-based management
• Maintain DR/BCP documentation and runbook procedures
• perform regular restore tests and failover drills
• Monitor system health using native tools and enterprise monitoring
• Translate business requirements into high-quality data models and BI solutions
• Create and maintain technical documentation and data dictionaries
• Provide L2/L3 support for BI/data platform incidents and mentor junior analysts/engineers

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
• Proven experience in SQL DBA or Data Warehouse Engineer in enterprise environments
• Strong expertise in Microsoft SQL Server administration (performance tuning, indexing, query optimization, backups/restore, HA/DR)
• Proven experience with Data Warehouse design
• Hands-on with Power BI
• Experience building reports/models against SAP Datasphere, including connectivity, permissions, and performance considerations
• ETL/ELT tools: SSIS and/or Azure Data Factory (or equivalent)
• Strong SQL/T-SQL coding standards, stored procedures, functions, and query plan analysis
• Understanding of data governance, privacy (GDPR), security controls, and audit requirements
• Excellent communication skills and stakeholder management

Relevant certifications are a plus: Microsoft Certified: Azure Database Administrator Associate, Power BI Data Analyst Associate, SAP Datasphere certifications