Sr. Database Engineer - Microsoft BI Stack

We are seeking a hands-on Sr. Database Engineer with deep expertise in the Microsoft data and BI ecosystem to join our team for a strategic finance data warehousing and reporting engagement. The role focuses on designing and building a star-schema data warehouse on Microsoft SQL Server, developing high-performance ETL pipelines using SSIS, constructing SSAS semantic models, and integrating these with Power BI for enterprise-grade financial reporting.

The ideal candidate has worked on similar on-premises Microsoft BI implementations and is comfortable owning the full data pipeline from source extraction to semantic layer delivery.

Responsibilities:

• Design, build, and maintain a star-schema data warehouse on SQL Server with fact and dimension tables for each finance domain.
• Implement SCD Type 1 and Type 2 dimension maintenance logic with a master data change notification mechanism.
• Build and maintain SSAS tabular/multidimensional models as the centralised semantic layer with KPI calculations and business rules.
• Integrate the semantic layer with Power BI datasets; support the Power BI report development team with data model optimisation.
• Implement row-level security (RLS) aligned to report recipient groups; maintain the role-entity mapping table independently.
• Embed data quality measures in the data warehouse: uniqueness, completeness, validity, and integrity checks.
• Create comprehensive technical documentation: data model, ETL flows, data lineage, KPI calculations, RLS design, and operating manuals.

Requirements:

• 2-4 years of hands-on experience with Microsoft SQL Server, including database design, performance tuning, and administration.
• Strong hands-on experience developing and managing SSIS packages for complex ETL pipelines - scheduling, error handling, logging, incremental loads.
• Proven experience building SSAS tabular or multidimensional models; semantic layer design with centralised KPI definitions and business rules.
• Deep expertise in star/snowflake schema data warehouse design with fact and dimension tables, SCD Type 1/2 implementations.
• Experience integrating SSAS/SQL Server data models with Power BI; and Power BI dataset design.
• Strong proficiency in advanced T-SQL: stored procedures, views, CTEs, window functions, query performance tuning.
• Experience implementing row-level security (RLS) in SQL Server and/or Power BI.
• Experience with data quality frameworks - building validation checks, reconciliation logic, and data integrity monitoring.

Preferred / Bonus Skills:

• Experience with Oracle Fusion ERP data extraction.
• Familiarity with Zebra BI visuals within Power BI.
• Experience with SharePoint list-based collaboration and commenting integrations.
• Awareness of Power BI Service application deployment, bookmarks, drill-down/drill-up navigation, and guided navigation patterns.
• Finance domain knowledge - General Ledger, AP, AR, Treasury, Revenue reporting cycles.
• Microsoft certifications (DP-500 PL-300 or equivalent).

Soft Skills and Expectations:

• Excellent communication skills - able to engage with finance stakeholders and translate business requirements into technical data models.
• Strong documentation skills - ability to produce clear technical documentation, operating manuals, and data dictionaries.
• Ownership mindset - comfortable taking end-to-end responsibility for data pipeline delivery.
• Comfortable working in a rapid, phased delivery engagement.