•Define the end-to-end solution architecture for collecting, processing, storing, and visualising monitoring data.
•Design integration across SSAS DMVs, SSAS Extended Events, dbo.ALETL_Log, SQL Server, SQL Agent, Git, DACPAC, and Power BI.
•Define the architectural approach for raw, staging, curated, configuration, dimension, fact, snapshot, audit, exception, and serving layers.
•Ensure the solution supports time-series capture, datetime filtering, historical trending, baseline comparison, threshold evaluation, RAG status, and capacity analysis.
•Define non-functional requirements covering performance, scalability, security, availability, auditability, restartability, retention, supportability, and recovery.
•Define technical patterns for scheduling, watermarking, duplicate prevention, exception handling, safe reruns, operational logging, and failure recovery.
•Translate SOW requirements into implementable technical work packages and acceptance criteria.
•Lead technical discovery and validate the availability, quality, and suitability of SSAS, ALETL, SQL Server, and Power BI data sources.
•Establish architecture, design, development, naming, coding, testing, deployment, and technical-review standards.
•Review and approve data models, source-to-target mappings, T-SQL, SSAS collectors, Extended Events sessions, derived metrics, DAX measures, security design, and deployment artefacts.
•Ensure consistent implementation of metric definitions, baseline classes, warning and critical thresholds, severity, RAG calculations, and historical trends.
•Resolve technical issues and dependencies across Data/SQL, SSAS, Power BI, and QA workstreams.
•Provide technical direction during developer testing, SIT, UAT, engineering defect resolution, deployment, rollback, hypercare, and production validation.
•Ensure least-privilege access for SQL Server, SSAS, service accounts, Power BI, Git, and deployment processes.
•Ensure the solution remains within approved SOW scope and technical exclusions.
•Review as-built documentation, operational runbooks, troubleshooting guidance, and knowledge-transfer material.
Skill Set
•Strong SQL Server and SSAS solution architecture experience
•SSAS Multidimensional, DMVs, Extended Events, XMLA, cubes, dimensions, measure groups, and partitions
•Monitoring, observability, telemetry, and time-series architecture
•SQL Server data architecture and dimensional modelling
•Processing-event correlation, historical baselines, thresholds, severity, and RAG design
•Integration patterns covering SQL Server, SQL Agent, SSAS, ALETL logs, and Power BI
•Security, RBAC, service accounts, least-privilege access, and auditability
•Performance, scalability, retention, restartability, recovery, and supportability design
•Advanced understanding of T-SQL, stored procedures, indexing, and query optimisation
•Power BI semantic-model, DAX, RLS, gateway, refresh, and workspace-governance concepts
•SSDT, Git, DACPAC, database deployment, rollback, and release governance
•Technical design reviews, quality gates, testing assurance, and production readiness
Strong problem-solving, technical documentation, workshop facilitation, and stakeholder communication
