Apply on Employer Site

Galent · 3 hours ago

Data Quality Engineer

United States

Contract

Remote

Mid Level

Galent is a technology solutions company focused on digital transformation, and they are seeking a Data Quality Engineer to establish a data quality function for their Snowflake TD migration. The role involves implementing governance frameworks, automating data pipelines, and ensuring the integrity and accessibility of data products.

Computer Software

Hiring Manager

Aravin Kumar

Responsibilities

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

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

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

Qualification

SnowflakeData Quality GovernanceData Pipeline DevelopmentData Lifecycle ManagementData SecurityData Architecture DesignData LineageMetadata Management

Required

Snowflake