Data Solutions Architect

1 month ago

Charlotte, United States QuintEvents Full time
Job DescriptionJob DescriptionSalary:

Who We Are / Values Statement

Quint is the industry-leading provider of official tickets and hospitality packages to many of the world's most prominent sports and entertainment events. Based in Charlotte, North Carolina, with offices in six countries, Quint’s global footprint and proprietary technology platform continue to be the foundation of their exponential growth. Quint's innovative programs enable partnership properties to expand fan experiences and corporate client entertainment opportunities in a way that reflects the quality and prestige of those brands. Quint has a portfolio of 15+ official property partnerships servicing over 90 events including Formula 1, NBA, Kentucky Derby, MotoGP, Chicago Bears, Green Bay Packers, NASCAR Chicago Experiences, Breeders Cup, Belmont Stakes and the NHL.

 

Who You Are

  • In-depth knowledge of data warehousing concepts and best practices.
  • Experience with ETL tools and processes.
  • Strong analytical and problem-solving skills.
  • Proven effective verbal and written communication.
  • Self-driven curiosity and initiative to learn our existing systems, technology, and processes.
  • Ability to translate business requirements into technical solutions.
  • Ability to work collaboratively across the organization to influence and drive technical solutions and strategies.

 

What You’ll Do/ Day In The Life

As the Data Solutions Architect you will be responsible for managing our data infrastructure, designing and maintaining data pipelines, ensuring data integrity, and analyzing data to meet business requirements.  In this role you will utilize your extensive experience with Snowflake and Tableau, along with your strong background in data engineering, data science, and data analysis. Additionally, as the Data Solutions Architect will leverage your proficiency in AI and Business Intelligence (BI) tools to enhance data-driven decision-making processes.


Key Competencies:

  • Technical Proficiency: Expertise in managing data infrastructure, building data pipelines, and ensuring data integrity.
  • Analytical Mindset: Ability to analyze complex data and derive meaningful insights.
  • Attention to Detail: High level of accuracy and attention to detail in data management and analysis.
  • Business Acumen: Understanding of business processes and the ability to align data solutions with business goals.
  • Innovation: Continuous improvement mindset with a focus on leveraging the latest technologies and best practices, including AI and BI tools.


Essential Job Duties & Functions

  • Data Infrastructure Management: Design, implement, and maintain scalable and efficient data architectures using Snowflake.
  • Data Pipeline Development: Develop and manage robust data pipelines to ensure seamless data flow from various sources to our data warehouse and other systems.
  • ETL Tool Management: Oversee the implementation, configuration, and maintenance of ETL (Extract, Transform, Load) tools to facilitate efficient data integration and transformation processes. Ensure the ETL processes are optimized for performance and reliability.
  • Data Integrity: Ensure data quality and integrity through comprehensive validation and cleansing processes.
  • Data Analysis: Analyze complex datasets to derive actionable insights that inform business decisions and strategies.
  • Reporting and Visualization: Create and manage dashboards and reports using Tableau to present data insights to stakeholders in a clear and meaningful way.
  • AI and BI Tools: Leverage AI and BI tools to automate data analysis, enhance predictive modeling, and generate advanced insights.
  • Collaboration: Work closely with business stakeholders, data scientists, data analysts, and IT teams to understand data requirements and deliver solutions that meet business needs.
  • Performance Optimization: Continuously monitor and optimize data systems for performance and efficiency.
  • Compliance: Ensure compliance with data governance and security policies.

 

Physical Demands

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 25 pounds/14 kilograms.
  • Full time in-person based in the Charlotte, NC office.
  • Willing and eligible to travel internationally, as needed.
  • Eligible to work in the United States.

Technology Development: Collaborate with

Qualifications/Skills

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
  • Minimum of 5 years of experience in data engineering, data science, or data analysis roles.
  • Proven experience with Snowflake and Tableau.
  • Experience in managing ETL tools such as Informatica, Talend, or FiveTran.
  • Strong proficiency in SQL and programming languages such as Python or Java.
  • Experience with AI tools.

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