Description

You will own data quality implementation, monitoring, and governance across the data platform, ensuring accuracy and consistency from ingestion to consumption.

This role is hybrid.

Responsibilities

• Design and implement data quality rules using Acceldata to monitor health and resolve anomalies.
• Manage data onboarding and integration quality, validating pipelines built with Fivetran and ensuring integrity within Snowflake.
• Cleanse and standardize Salesforce data using DemandTools to prevent duplicates and maintain master data accuracy.
• Establish metadata management and data governance policies using Atlan, including lineage tracking.
• Develop data quality dashboards and collaborate with engineering teams to remediate issues and define best practices.

Required Skills

• 3+ years of experience as a Data Quality Engineer or similar role.
• Hands-on experience with Acceldata for data quality monitoring and observability.
• Strong SQL skills for data querying, analysis, and profiling.
• Experience with Fivetran for data ingestion and understanding transformation capabilities.
• Proficiency with Atlan or similar modern data catalog and metadata management tools.
• Familiarity with DemandTools for Salesforce data quality management.
• Solid understanding of data quality principles, methodologies, and best practices.

Preferred Skills

• Experience with Python for data manipulation and automation.
• Knowledge of data warehousing concepts with Snowflake or BigQuery.

Key Skills

Education

Bachelor's degree