Data Stewards/Modeler
Location: Hyderabad (Hybrid work from office)
Shift Time: 02:00 to 11:00 PM IST
Required Skills/Qualifications:
- 6-8 years of experience in data stewardship, data governance, or data quality roles.
- Bachelor's or Master's degree in Data Management, Information Systems, Computer Science, or related field.
- Strong understanding of data quality frameworks, data governance principles, and metadata management.
- Experience using tools like Informatica Data Quality (IDQ), Collibra, Alation, or other data cataloging platforms.
- Excellent communication, collaboration, and analytical problem-solving skills with strong attention to detail.
Desired Experience:
- Experience conducting data assessments and profiling to identify data quality issues and define Critical Data Elements (CDEs).
- Proficiency in defining and executing Source-to-Target Mapping (STTM) and data lineage tracing.
- Hands-on experience performing root cause analysis (RCA) for DQ issues and coordinating data remediation at the source.
- Strong understanding of medallion architecture (Bronze, Silver, Gold layers) in cloud data platforms (Databricks, Snowflake, Azure).
- Experience in classifying data into business domains/subject areas like Customer, Product, Sales, Finance, etc.
- Experience in SAP tables and data fields
- Familiarity with data privacy regulations and ability to support privacy impact assessments.
Responsibilities:
- Conduct end-to-end data assessments and data profiling across all in-scope data sources.
- Define, implement, and test data quality rules across Landing, Bronze, Silver, and Gold layers.
- Identify Critical Data Elements (CDEs) and classify data into appropriate business domains and subject areas.
- Lead root cause analysis (RCA) of DQ issues, define and oversee execution of remediation plans, and confirm successful implementation.
- Partner with business and IT stakeholders to ensure alignment on data governance objectives and quality standards.
- Perform and support data cataloging, lineage documentation, and metadata enrichment using enterprise tools.
About you:
- You are detail-oriented, with a passion for clean, high-quality, and well-governed data.
- You are a natural collaborator who can communicate clearly with both technical and business teams.
- You thrive in a dynamic environment where you proactively identify issues and drive solutions.
- You are well-versed in data management best practices and constantly seek ways to improve data trust and usability.
- You are somebody with very good written and oral communication skills.
