Responsibilities:Data Quality Implementation & Monitoring (Acceldata & DemandTools):Design develop and implement data quality rules and checks using Acceldata to monitor data accuracy completeness consistency and and utilize Acceldata to profile data identify anomalies and establish data quality and resolve data quality issues identified by Acceldata working with relevant teams for DemandTools within our Salesforce environment to identify merge and prevent duplicate records across Leads Contacts and data standardization and cleansing processes within Salesforce using and maintain data quality dashboards and reports using Acceldata to provide visibility into data Onboarding & Integration Quality:Collaborate with engineers and platform teams to understand data sources and pipelines built using Fivetran / ingestion data transformations within Fivetran to maintain data integrity and and execute test plans and test cases to validate the successful and accurate onboarding of data into our snowflake Management & Data Governance:Work with the Atlan platform to understand and contribute to the establishment of a comprehensive data in defining and implementing data governance policies and standards within the accuracy and completeness of metadata within Atlan to ensure data discoverability and on data lineage tracking and impact analysis using & Communication:Work closely with data engineers platform team data analysts business stakeholders and Salesforce communicate data quality findings risks and remediation in data governance meetings and contribute to the development of data quality best data quality rules processes and monitoring Skills & Experience:Proven experience (e.g. 3 years) as a Data Quality Engineer or similar -on experience with Fivetran / data ingestion application for data integration and understanding its data transformation with Atlan or other modern data catalog and metadata management practical experience with Acceldata or similar data quality monitoring and observability in using DemandTools for data quality management within understanding of data quality principles methodologies and best SQL skills for data querying and with data profiling and data analysis analytical problem-solving and troubleshooting communication and collaboration to work independently and manage tasks effectively in a remote Skills & Experience:Experience with other data quality tools or of data warehousing concepts and technologies (e.g. Snowflake BigQuery).Experience with scripting languages like Python for data manipulation and with Salesforce data model and administration.