Skills

Data Governance Monitoring Agile methodologies Prioritization Architecture Data Architecture Agile Snowflake

Job Specifications

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters

Here are the job details

Job Title Snowflake Data Quality Consultant

Job Location Remote Work

Duration 12 Months

Experience 12+ Years

Rate $65/hr C2C

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

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

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

About the Company

Droisys is an innovation technology company, with a reputation of delivering top engineering projects and teams to meet, execute, and solve complex business challenges & deliver nuanced solutions. Droisys specializes in end-to-end delivery of highly tailored technology solutions designed by the best software engineers in the industry. Droisys has teams onsite/remote, offsite, and offshore to deliver around-the-clock results. If your business problem can be solved with a software, Droisys can build it. Droisys is a full-serv... Know more