SQL Server & Data Warehouse Consultant
Listed on 2026-07-10
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IT/Tech
Database Administrator, Data Engineering
About Us
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Job PurposeWe are seeking an experienced SQL Server Performance & Data Warehouse Consultant to join the Data Platform team on an initial three-month contract to lead a comprehensive performance, capacity and storage optimisation programme for a large-scale, on-premises Microsoft SQL Server estate, the main focus will be an 80 TB SQL Server 2022 Data Warehouse platform.
Working closely with the Data Engineering team, the successful consultant will undertake a comprehensive technical assessment of the existing platforms, identify performance, storage and capacity constraints, determine their root causes, and implement agreed improvements that deliver measurable gains in performance, scalability, operational resilience and long-term maintainability.
The successful consultant will be expected to investigate performance holistically across the entire technology stack, recognising that enterprise database performance challenges frequently originate outside of the SQL Server engine. This includes the operating system, virtualisation platform, compute, storage, SAN, networking and associated infrastructure, requiring the ability to identify and resolve bottlenecks wherever they exist.
The engagement will conclude with a prioritised remediation roadmap, comprehensive technical documentation and knowledge transfer to enable the Data Engineering team to confidently support and evolve the SQL Server estate.
Background & Problem StatementThe Microsoft SQL Server estate supports several business-critical platforms, including an 80 TB SQL Server 2022 Data Warehouse. Continued growth in data volumes and workload complexity has introduced performance, storage and capacity challenges that now require specialist investigation and remediation.
Current challenges include
- Database and transaction log files that are inefficiently sized and configured
- Limited available storage capacity constraining maintenance operations and future growth
- Database shrink operations causing fragmentation, blocking and unnecessary performance overhead
- Inefficient indexing strategies and statistics maintenance affecting query performance
- Increasing maintenance windows and operational overhead as the platform continues to grow
- Opportunities to better leverage SQL Server 2022 performance capabilities and modern data warehouse optimisation techniques
- Potential infrastructure constraints within the compute, storage and network layers impacting overall database performance
Review database architecture, storage configuration, filegroup design and maintenance strategies
Analyse workload characteristics to identify performance, storage and capacity constraints
Develop and implement sustainable strategies for database growth, storage optimisation and capacity management
Optimise query performance through execution plan analysis, indexing strategies, statistics management and workload tuning
Diagnose complex SQL Server performance issues including parameter sensitivity, cardinality estimation, blocking, deadlocking, concurrency, memory grants, TempDB contention, parallelism and execution plan instability
Assess opportunities to leverage SQL Server 2022 capabilities including Query Store, Intelligent Query Processing, Query Store Hints, Parameter Sensitive Plan optimisation, partitioning, compression and column store indexing where appropriate
Produce a prioritised remediation roadmap balancing technical benefit, operational risk and long-term maintainability
Produce comprehensive technical documentation, operational recommendations and knowledge transfer for the Data Engineering team.
Knowledge, Skills and ExperienceEssential
- Extensive experience administering and optimising large-scale (multi-terabyte) Microsoft SQL Server Enterprise environments across multiple SQL…
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