Full Description

We’re hiring a Data Quality Engineer Join Galent and help us deliver high-impact technology solutions that shape the future of digital transformation

Job Title: Data Quality Engineer

Location: San Jose, CA (Remote)

Job Type: Contract

Mandatory Skills: Snowflake

Job description Stand up a Minimum Viable Data Quality function to support the Snowflake TD migration ensuring trustworthy accessible and secure data necessary to successfully launch an MVP Data Product Marketplace Roll out a federated lightweight governance framework focusing on quality standards policies and tooling Identify and align to a North Star for data quality level 90 and enable the availability of data products Utilize Snowflake native DQ and Observability capabilities to ensure high quality data and move away from legacy tools Governance must integrate with existing systems such as EDAG RBAC customer application Scope Conduct a current state analysis focusing on existing engineering services and data quality Define a North Star through identification of key metrics and targets Using DQ dimensions eg accuracy completeness consistency timeliness Align and socialize North Star target with data owners and Data stewards across Develop a lightweight federated governance framework with an emphasis on standards policies and snowflake tooling that can be socialized across Support the implementation of Data Security Privacy Role Based Access Controls Enable Snowflakes native data quality and observability capabilities to provide the monitoring and assurance foundation to support an MVP Data Product Marketplace Identify and automate data pipelines to support data quality Provide best practice considerations related to Snowflake configuration accounts data governance security guidance data management and other topics as directed by Responsibility Value Defining the business value ROI of improved data quality Establishing clear Data Ownership and Stewardship roles to be accountable for DQ targets Assessing data ownership coverage across critical domains Transparency Context Organizational alignment on metadata standards for tracking data characteristics DQ dimensions rules metrics Ensuring metadata availability to endusers to provide context needed for proper data use supporting DQ usability Assessing metadata standards to ensure consistent understanding and sharing Accessibility Usage How data rights and and access are capture single source of truth and in a manual or automated fashion Integrity Confidentiality Evaluating how data rights and access are captured single source of truth to prevent unauthorized changes that compromise data integrity Data Lifecycle Evaluating the Data Lifecycle Management framework to ensure data is retired archived or purged according to defined policies preventing the use of obsolete data supporting DQ timeliness Assessing adherence to data retention policies to ensure data is available only when valid Data Technical Architecture Evaluating selected architecture patterns to ensure they support data democratization without introducing quality decay Reviewing lineage discovery and recording across environments to enable rapid root cause analysis of quality issues Snowflake Governance Accountability Cataloging Classification Accessibility Usage Protection Privacy Data Lifecycle Data Technical Architecture Capabilities assessment of current DG DQ program and prioritization of capabilities to move the program forward Classification Framework Tagging Framework PHI Management Framework Tagging Framework Data Architecture Design Data Pipeline Development Failover Playbook Data Architecture Design Data Pipeline Build Data Sharing Enablement implementation leveraging Snowflake key considerations best practices to mitigate technical debt Snowflake Platform Capabilities Data storage Crossborder Data Movement Metadata Classification Tagging Data Lineage Marketplace Catalog Identity Access Management Role Based Access Control RBAC External Tokenization Row Access Policies Dynamic Data Masking TagBased Policies Data Sharing Encryption in Transit at Rest Column Level Encryption In addition to Accessibility Usage features Eliminating data silos with Single Source of Truth Minimize Data Movement Snowflake regional high Availability Replication and Failover Client redirect Eliminating data silos with Single Source of Truth Minimize Data Movement Conduct current state analysis define the North Star vision and establish the business case and value metrics for governance Create and socialize a lightweight federated governance framework establishing roles ownership and organizational alignment on standards Define and ensure metadata availability for selfservice implement data retention policies and record end-to-end data lineage Support the implementation of Data Security Privacy RBAC and DLP policies including encryption and access rights management Enable Snowflake native data quality observability capabilities and automate data pipelines to enhance data quality Show more Show less