Sr. Product Engineer

¿ Establish an enterprise data governance strategy for end to end reporting data pipeline solution Data lineage/data movement. ¿ Maintain and promote key data governance deliverables/assets, including data policies, data standards, and data management roles and decision frameworks. ¿ Coordinate with Product Managers and Analytics/Reporting scrum team and external vendors (e.g. Salesforce, Mulesoft) to ensure effective services and reliability to reporting dashboards and data migration activities. ¿ Monitor and provide support to Data Integration workflows. Knowledge/Support on Mulesoft code and ability to trigger Mulesoft jobs and resolve any permission issues with Salesforce. ¿ Analyze all business processes and ensure compliance to all controlled processes according to business requirement. ¿ Install Databricks dependencies, enabling/whitelisting the IP address/host. ¿ Prepare recovery procedures for the application and provide upgrade to same. ¿ Ability to spin up VM in Azure, Knowledge/Configuration of autoscaling in Databricks/ VM¿s. Document, assess, influence, and synthesize business requirements to develop, enable and advance data governance and stewardship capabilities. ¿ Develop and deploy quality control processes dealing with the data flows from Salesforce to Azure Data lake and to EDW (like Snowflake). ¿ Facilitate the development and implementation of data quality standards, for reporting, archival, and retrieval of historical data (legal, audit). ¿ Research governance issues identified by stakeholders, related to Data Archival and determine the appropriate processes to mitigate.