About
Responsibilities: Data Mapping & Documentation Create and maintain source to target mappings, data flow diagrams, and transformation logic documentation for Snowflake data assets Analyze source systems and Snowflake tables to document data lineage, relationships, and dependencies Partner with data engineers and architects to validate mappings and ensure alignment with Snowflake data models Metadata & Atlan Content Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan Document business definitions, data ownership, freshness, and usage guidance within Atlan Curate and maintain trusted data catalogs to support governance and self service data discovery Ensure metadata accuracy, completeness, and consistency across Snowflake and Atlan Data Analysis & Validation Use Snowflake SQL to analyze datasets for data understanding, completeness, and quality Validate data transformations and downstream consumption against documented mappings Support impact analysis by identifying affected data assets using Snowflake lineage and Atlan metadata Collaboration & Enablement Serve as a bridge between business, engineering, and governance teams for data understanding Support governance, observability, and audit readiness through strong documentation and metadata practices Contribute to standards and best practices for data documentation and metadata management
Requirements:
Bachelors degree in Analytics, Information Systems, Computer Science, or related field Strong SQL skills with hands on experience querying Snowflake Experience creating data mapping documents, lineage, and technical data documentation Familiarity with metadata management and data catalog concepts Strong analytical, documentation, and communication skills Nice to have experience in ETRM and FP&A modeling for Power and Gas. Hands on experience with Atlan (or similar tools such as Collibra, Alation) Experience working with ELT pipelines and Snowflake data warehouses Familiarity with data governance, data quality, or observability practices Exposure to AWS based data ecosystems Experience supporting enterprise or ERP driven data platforms
Why Should You Apply?
Excellent growth and advancement opportunities
ICONMA is an Equal Opportunity Employer. All qualified applicants will receive consideration
for employment without regard to any status protected by applicable law.
Languages
- English
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