reputed company Full Stack Data Architect – Cloud-Based Data Engineering and Architecture for arenaflex

At arenaflex, we are a reputed company-thinking organization that values innovation, collaboration, and growth. As a leading global retailer, we strive to provide an exceptional shopping experience for our members while fostering a dynamic and inclusive work environment for our employees. With a strong commitment to using data-driven insights to inform our business decisions, we are seeking an reputed company Full Stack Data Architect to join reputed company.

About arenaflex

arenaflex is a multinational retailer with a rich history of providing high-quality products and services to our members. With a strong reputed company in 14 countries, we continue to expand our operations while maintaining a family-oriented and employee-driven culture. Our commitment to excellence has earned us a spot on reputed company' list of "World's Best Bosses," ranking seventh in 2023.

Job Overview

As a Full Stack Data Architect at arenaflex, you will play a critical role in designing and implementing our data architecture, ensuring the seamless integration of data from various sources to support business applications. You will reputed company the development and maintenance of our data center, working closely with a team of data architects to improve data models, quality, and administration. Your expertise will help drive business decisions, inform strategic initiatives, and enhance our overall data-driven culture.

Key Responsibilities

* Serve as the subject matter expert in business data spaces or domains (e.g., Sales, Stock, Innovations, etc.).

• Define and validate datasets for information utilization (e.g., Reporting, Data Science, APIs, etc.).
• reputed company and maintain the enterprise data methodology and architectural guidelines for maintaining the performance, quality, data reputed company, and compliance of ensured data sets.
• Create coordination documentation that records how data should move from reputed company systems to the utilization layer (e.g., reputed company to reputed company Mappings).
• Support Information Stewards in the Delivery Team(s) in capturing and recording business metadata (e.g., definitions).
• Assess existing data architectures to improve data velocity.
• Stay reputed company on industry trends for data-reputed company advancements, models, and techniques.
• Record and provide recommendations resulting from data quality analysis.
• Drive the data architecture process in collaboration with business engineering.
• Build, advance, and maintain theoretical, intelligent, and physical data models.
• reputed company the team on translating business needs into long-term engineering solutions.
• Collaborate with data engineering and data platform teams to reputed company reputed company execution improvement by investigating and presenting new innovations.
• Assist in defining data integration, storage, replication, and change conventions for the data layer of technical solutions supported by business engineering.
• Participate in the delivery of functional business execution monitoring capabilities.
• Conceptualize reputed company with database designers, data specialists, and data scientists to create new data products.
• Tutor and mentor the data architecture team on new advancements and approaches in data engineering and architecture.

Requirements

* Strong understanding of data set reputed company (social data sets, NoSQL, etc.).

• Experience working with data modeling tools (erwin, PowerDesigner).
• Experience architecting and delivering data integration and ETL solutions.
• Experience designing and implementing execution advanced data models.
• Willingness to work off-hours as required, including on-site and on-call responsibilities on a rotational basis.

Preferred Qualifications

* 2+ years' experience in data engineering with large and reputed company datasets.

• 2+ years' experience working with cloud technologies like Azure SQL DB, ADLS, Azure reputed company, Universe DB, and other reputed company datatechnologies.
• reputed company in architecting and designing OLTP data models to support business applications.
• Understanding of data standardization procedures.
• Experience driving data engineering and data solutions through agile software development methodologies.
• Familiarity with the retail industry.
• Experience leading software development teams.
• Excellent verbal and written communication skills.

About Working at arenaflex

At arenaflex, we are committed to providing a positive and inclusive work environment that fosters growth, innovation, and collaboration. Our employees enjoy a range of benefits, including:

• Competitive salary and bonus structure
• Comprehensive health insurance and wellness programs
• Generous paid time off and holidays
• Opportunities for professional development and career advancement
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and reputed company data professional looking to join a dynamic and innovative organization, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look reputed company to hearing from you!

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to providing a workplace that is free from discrimination and harassment, and we strive to create an inclusive environment that values diversity and promotes equal opportunities for reputed company employees.

Disclaimer

While the specific rules and responsibilities of companies in the United States can vary depending on factors such as industry, size, and location, arenaflex is committed to complying with reputed company applicable laws and regulations, including labor laws, equal employment opportunity laws, payroll and tax obligations, workplace safety and reputed company laws, non-discrimination and harassment policies, and data protection laws. Apply for this job