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Job Description & How to Apply Below
This role demands both depth and rigor someone equally comfortable reading an execution plan, reviewing a CI/CD pipeline, and authoring governance documentation that meets audit standards.
Environment:
The platform is built on Microsoft SQL Server BI stack and has been in continuous operation for nearly two decades. The core technology landscape includes:
Database: Microsoft SQL Server 2022
Integration: SSIS 2022
Analytics: SSAS 2017 / 2019
Reporting: SSRS 2014 / 2019
Orchestration: SQL Server Agent job networks and SSIS catalog execution chains
Dev Ops: On-premises Azure Dev Ops Server for source control, CI/CD, automated testing, and environment promotion (DEV → UAT → PROD)
The environment reflects nearly two decades of accumulated development generations, with parts of the codebase built on earlier constructs, as languages and practices have eveolved requiring strong governance, risk mitigation, and performance management capabilities.
Experience:
8 to 10 Years
Location:
Hyderabad
Employment Type:
Full-Time, Hybrid
Department: GAPM, Corporate Finance,
Time Zone: Selected candidate is required to work as per:
• 09:00 AM – 6:00 PM CET (European Time)
Key Responsibilities:
Maintain the organization's data governance and quality frameworks across the BI platform.
Maintain metadata, lineage documentation, and data quality scorecards in alignment with governance frameworks.
Conduct regression testing, impact analysis, and quality validation for SQL, SSIS, SSAS, and reporting assets.
Partner with data owners, BI teams, and risk/compliance functions to evaluate platform risks and drive standardization.
Ensure BI and data platform compliance with change management, test governance, lineage tracking, and documentation standards.
Support internal audits, SOX controls, access reviews, and operational readiness assessments.
Required Skills &
Qualifications:
Strong governance mindset with focus on documentation, lineage, regression prevention, and quality checks.
Knowledge of BI ecosystems (SQL, SSIS, SSAS, Power BI) and ability to evaluate data/ETL quality risks.
Familiarity with data governance frameworks (e.g., DAMA, DCAM) and metadata management practices.
Experience with testing frameworks, release validation, and structured change processes. What Sets You Apart
You understand that in a platform which is mature, documentation and lineage are as critical as code
Nice to Have:
You have navigated legacy, multi-generation codebases and know how to apply governance incrementally without disrupting operations.
Other details:
English as the primary working language
Immediate availability
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