Data Manager Jobs

About The Position

Requirements

• A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
• 7+ years of experience in data architecture or data engineering.
• Strong hands-on experience with Snowflake (design, modeling, performance) and cloud data services.
• Experience building API Integration, ETL/ELT pipelines.
• Strong SQL Server skills (design, indexing, performance tuning).
• Proven experience with data governance, metadata management and data security.
• Experience with version control (e.g., Git) and automated deployment for data assets.
• Strong communication and stakeholder collaboration skills.
• U.S. citizenship is required.

Nice To Haves

• Excellent communication and coordination skills to work effectively with technical and non-technical stakeholders.
• Certification in Snowflake or relevant cloud data services.
• Scripting skills (e.g., Python, Shell) for automation.
• Familiarity with API integrations and microservices architecture.
• Knowledge of cloud platforms (Preferably Azure).
• Experience with HR systems such as Workday

Responsibilities

• Design and maintain scalable HR data architecture in Snowflake, including databases, schemas, data models and semantic views.
• Build and optimize ETL/ELT pipelines using Matillion and Snowflake to support reporting, analytics and operational needs.
• Define and enforce data governance, data quality, consistency, lineage, naming standards and compliance with regulatory requirements for HR data.
• Develop and maintain data controls to ensure the integrity and reliability of data across systems and workflows.
• Implement and manage security policies for user views and semantic layers, including role-based access and data protection.
• Manage SQL Server environments used for metadata management, including performance tuning and reliability.
• Establish DevOps practices (version control, deployment automation, environment promotion) for schemas, pipelines and data models.
• Partner with Product and Delivery, BU Consultants and BI development teams to translate requirements into scalable, governed data solutions.
• Provide consultation and guidance on data architecture, integration and analytics capabilities.
• Create and maintain comprehensive documentation for data architecture designs, processes, governance policies, and integrations.
• Support AI-ready and agentic use cases by organizing trusted semantics, metadata and reusable data products.

Benefits

• medical
• dental
• vision
• life insurance
• short-term disability
• long-term disability
• 401(k) match
• flexible spending accounts
• flexible work schedules
• employee assistance program
• Employee Scholar Program
• parental leave
• paid time off
• holidays