Sky Zone

Director of Enterprise Data

Sky Zone

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $130,000 - $150,000 per year

Job Level

Lead

Tech Stack

AzureCloudETLSQL

About the role

  • Technical Leadership in Data Architecture: Work with our Data Architect to lead the design and implementation of data architecture solutions using Snowflake and Azure, ensuring alignment with existing and anticipated systems architecture.
  • Data Solutions for Business Outcomes: Translate business needs into data solutions by designing architectures and frameworks that enable data-driven decision-making and analytics.
  • Data Governance & Compliance: Work with IT, security, and compliance teams to establish and enforce data governance policies, ensuring data integrity, security, and compliance with regulatory standards.
  • Data Security & Quality Assurance: Lead efforts to maintain high standards of data security and quality, ensuring data accuracy, accessibility, and protection across the organization.
  • Lifecycle Management: Oversee and guide the team in data lifecycle activities, including data acquisition, storage, transformation, and access, with a focus on scalability, performance, and cost-efficiency.
  • Systems Architecture Collaboration: Collaborate closely with systems architects and IT teams to align data strategies with broader enterprise systems architecture, ensuring data solutions fit within the company’s technical ecosystem.
  • Innovation & Continuous Improvement: Stay at the forefront of data management and systems architecture trends, incorporating innovative practices and tools that enhance our data environment.
  • Leadership and Strategic Skills Demonstrated leadership in managing data engineering teams : Experience in guiding a team (internal and/or external) of data engineers, architects, and analysts to deliver high-quality data solutions. Strategic planning and execution : Ability to develop and implement data strategies that align with enterprise goals, leveraging Azure and Snowflake for scalability and efficiency. Cross-functional collaboration and stakeholder management : Proven ability to communicate technical strategies to executive leadership and work closely with IT, analytics, and business teams. Project management proficiency : Experience with Agile and Scrum methodologies, particularly in data and software development projects managed within Azure DevOps. Technical Skills Strong proficiency in Azure ecosystem : Extensive experience with Azure DevOps for CI/CD, Azure Data Factory for ETL and orchestration, and Azure Infrastructure for data storage and compute management. Experience with Snowflake data platform : In-depth understanding of Snowflake’s architecture, including data warehousing, scaling, security, and performance optimization. Proficiency in GitHub and version control : Knowledge of best practices for code and data versioning in GitHub, including repository management and collaborative workflows. Experience with data modeling and architecture in a cloud environment : Ability to design, implement, and manage data pipelines and architecture on Azure and Snowflake. Data governance and security frameworks : Knowledge of regulatory and compliance standards, such as GDPR and CCPA, and data governance practices using Azure tools. Advanced SQL skills and experience with database management : Strong SQL expertise , ideally with both relational databases and cloud-native solutions like Azure SQL Database and Snowflake. Familiarity with analytics and reporting tools : Experience with visualization tools like Power BI.

Requirements

  • 10+ years of experience in enterprise data management
  • Deep expertise in Snowflake and Azure data services
  • Strong understanding of systems architecture principles and experience integrating data solutions within broader technical ecosystems
  • Demonstrated success in establishing and managing data governance, quality, security, and compliance frameworks
  • Proven ability to build relationships with both technical and non-technical stakeholders to drive a data-centric culture
  • Experience in leading and mentoring teams, fostering a collaborative, results-oriented environment
  • Project management proficiency with Agile and Scrum methodologies, particularly in data and software projects managed within Azure DevOps