Data Steward

Data Steward

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 Alation

   across the organization as the primary Data Steward.
• Collaborate with Data Engineering, BI, and Business teams to

  catalog critical datasets, data pipelines, reports, dashboards, and metrics

  .
• Perform

  hands-on metadata curation

  , including writing and validating business definitions, technical descriptions, lineage, and data usage notes.

• Profile datasets using SQL

   to understand structure, quality, and relationships and ensure accurate documentation.
• Translate complex data logic into clear,

  business-friendly descriptions

   that support data literacy across stakeholders.
• Coordinate with metric owners and SMEs to

  document and validate metric definitions, calculations, and usage context

  .
• Ensure adherence to

  data governance and stewardship standards

  , including stewardship workflows, ownership, and approvals within Alation.
• Drive

  user adoption and enablement

   by conducting demos, training sessions, and office hours.
• Establish and maintain

  data catalog KPIs

   (coverage, freshness, usage) and continuously improve catalog quality.

Required Skills & Experience:

• 7-10  years

   of experience in data stewardship, data governance, or data analytics roles.
• Hands-on experience with

  Alation

   or similar enterprise data catalog platforms (e.g., Collibra, Informatica EDC, Atlan).

• Strong SQL skills

   with the ability to query, analyze, and validate large datasets.
• Familiarity with

  ETL/ELT pipelines

   and data engineering concepts.
• Proven experience translating technical data logic into

  business-consumable language

  .
• Strong communication, facilitation, and stakeholder management skills.
• Experience working in

  cross-functional teams

   involving 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 of

  data lineage, data quality

  , and

  data privacy

   concepts.
• Exposure to

  BI tools

   (e.g., Power BI, Tableau) and how they integrate with data catalogs.
• Knowledge of

  metadata standards

   (e.g., business glossary, technical metadata, usage metadata).