Data Steward

Position:Alation Data Steward Location:100% Remote Duration:12 month contract + potential conversion Pay Range:25LPA- 42 LPA Interview Process : 1 RoundAbout the Role: We are seeking an experienced and highly motivatedAlation Data Stewardto lead the setup and governance of our enterprise data catalog using Alation. This role is critical in ensuring our data assets are discoverable, trustworthy, and well-documented for business and technical users across the organization. As the steward for Alation, you will play a hands-on role in establishing and curating the catalog, driving metadata management, and collaborating with data owners, analysts, and engineers to document key business metrics and data logic. Strong SQL and ETL knowledge is essential for profiling datasets and validating logic definitions.Key Responsibilities: Lead the implementation and operationalization of Alationacross the organization as the primary Data Steward. Collaborate with Data Engineering, BI, and Business teams tocatalog critical datasets, data pipelines, reports, dashboards, and metrics . Performhands-on metadata curation , including writing and validating business definitions, technical descriptions, lineage, and data usage notes. Profile datasets using SQLto understand structure, quality, and relationships and ensure accurate documentation. Translate complex data logic into clear,business-friendly descriptionsthat support data literacy across stakeholders. Coordinate with metric owners and SMEs todocument and validate metric definitions, calculations, and usage context . Ensure adherence todata governance and stewardship standards , including stewardship workflows, ownership, and approvals within Alation. Driveuser adoption and enablementby conducting demos, training sessions, and office hours. Establish and maintaindata catalog KPIs(coverage, freshness, usage) and continuously improve catalog quality.Required Skills & Experience: 7-10 yearsof experience in data stewardship, data governance, or data analytics roles. Hands-on experience withAlationor similar enterprise data catalog platforms (e.g., Collibra, Informatica EDC, Atlan). Strong SQL skillswith the ability to query, analyze, and validate large datasets. Familiarity withETL/ELT pipelinesand data engineering concepts. Proven experience translating technical data logic intobusiness-consumable language . Strong communication, facilitation, and stakeholder management skills. Experience working incross-functional teamsinvolving business, data engineering, and analytics. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.Preferred Qualifications: Experience in cloud-based data platforms (e.g., GCP, Snowflake, BigQuery). Understanding ofdata lineage, data quality , anddata privacyconcepts. Exposure toBI tools(e.g., Power BI, Tableau) and how they integrate with data catalogs. Knowledge ofmetadata standards(e.g., business glossary, technical metadata, usage metadata).

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