Role description
Role
- Data Governance
Location
- Bangalore
Key Responsibilities
Data Governance, Lineage & Stewardship
Own and manage end-to-end data lineage from ERP RAW consumable KPI layers, ensuring traceability, transparency, and alignment with governance standards.
Maintain and curate data assets within data.world, ensuring datasets are accurately classified, documented, and contextually enriched.
Define, implement, and enforce metadata standards, including business definitions, lineage, and transformation logic across the data pipeline.
Partner with business and technical stakeholders to identify and steward critical data elements (CDEs) across all layers.
Establish and standardize business definitions, metrics, and KPIs, contributing to a governed semantic layer for analytics and AI.
Improve data discoverability, lineage visibility, and contextual clarity to enable trusted data usage.
Data Quality Management (End-to-End Pipeline)
Own data quality across the full data pipeline (ERP RAW consumable KPI), ensuring consistency, accuracy,
and completeness at each stage.
Develop and maintain data quality rules, validations, controls, and scorecards, aligned to transformation layers.
Utilize SQL and Python scripting to perform data profiling, validation, reconciliation, and anomaly detection.
Identify, analyze, and lead resolution of data quality issues, performing root cause analysis across upstream and downstream systems.
Collaborate with engineering and business teams to validate transformation logic and ensure reliability of KPI outputs and AI datasets.
Establish proactive monitoring and automated checks to detect and prevent data defects early in the pipeline.
Data Catalog & Metadata Enablement (data.world)
Serve as a primary steward of the data.world platform, ensuring high-quality metadata, lineage mapping, and usability of cataloged assets.
Document and maintain end-to-end lineage relationships within data.world, connecting ERP sources t
📌 Data Architect I (Bengaluru)
🏢 UST
📍 Bengaluru