Description

You will own data integrity across the platform, ensuring accuracy and consistency from ingestion to consumption.

This role is hybrid.

Responsibilities

• Design and implement data quality rules using Acceldata to monitor accuracy, completeness, and timeliness.
• Configure Acceldata for data profiling, anomaly identification, and threshold management; resolve issues with engineering teams.
• Use DemandTools within Salesforce to identify, merge, and prevent duplicate records across Leads, Contacts, and Accounts.
• Collaborate with engineers to validate Fivetran transformations and execute test plans for Snowflake onboarding.
• Manage metadata and governance using Atlan, including catalog maintenance, lineage tracking, and policy implementation.

Required Skills

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

Preferred Skills

• Experience with dbt, Python, Snowflake, or BigQuery.
• Knowledge of data warehousing concepts and Salesforce data models.

Key Skills

Education

Any Gradute