Droisys · 19 hours ago
Snowflake Data Quality Consultant
United States
Contract
Remote
Senior Level, Lead/Staff
$65/hr - $65/hr
12+ years expDroisys is an innovation technology company focused on helping companies accelerate their digital initiatives. They are seeking a Snowflake Data Quality Consultant to establish a data quality function and governance framework to support Snowflake TD migration and ensure high-quality data for a Data Product Marketplace.
Artificial Intelligence (AI)ConsultingGamificationMachine LearningMobile AppsNFCSoftware
Hiring Manager
Franklin Daniel (He/Him)
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
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
Qualification
Required
12+ Years of experience
Experience in standing up a Minimum Viable Data Quality function to support Snowflake TD migration
Ability to roll out a federated lightweight governance framework focusing on quality standards, policies, and tooling
Experience in identifying and aligning to a North Star for data quality level 90
Utilization of Snowflake native DQ and Observability capabilities
Integration of governance with existing systems such as EDAG, RBAC, and customer applications
Conducting current state analysis focusing on existing engineering services and data quality
Defining a North Star through identification of key metrics and targets
Using DQ dimensions such as accuracy, completeness, consistency, and timeliness
Aligning and socializing North Star target with data owners and Data stewards
Developing a lightweight federated governance framework with emphasis on standards, policies, and Snowflake tooling
Supporting the implementation of Data Security, Privacy, and Role Based Access Controls
Enabling Snowflake's native data quality and observability capabilities
Identifying and automating data pipelines to support data quality
Providing best practice considerations related to Snowflake configuration, accounts, data governance, security guidance, and data management
Defining business value ROI of improved data quality
Establishing clear Data Ownership and Stewardship roles
Assessing data ownership coverage across critical domains
Ensuring metadata availability to end-users for proper data use
Assessing metadata standards for consistent understanding and sharing
Evaluating how data rights and access are captured
Evaluating the Data Lifecycle Management framework
Assessing adherence to data retention policies
Evaluating selected architecture patterns for data democratization
Reviewing lineage discovery and recording across environments
Cataloging and classification of data
Assessing capabilities of current DG DQ program
Company
Droisys
Droisys is leading innovative company working on technologies like gamification, Artificial Intelligence, app development, etc.
201-500 employees
H1B Sponsorship
Droisys has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (8)
2023 (16)
2022 (7)
2021 (13)
2020 (14)
Funding
Current Stage
Growth StageLeadership Team
Amit Goel
Chief Executive Officer
Abhay Saini
Business Partner
Recent News
Digital Journal
2025-02-01
Company data provided by crunchbase