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Experienced Full Stack Data Architect – Cloud and Big Data Application Development at arenaflex

Remote · USA Full-time New today

Join arenaflex, a leading global retailer, and be part of a dynamic team that is revolutionizing the way we shop. As a Data Architect, you will play a crucial role in designing and implementing data solutions that drive business growth and improve customer experiences.

About arenaflex

arenaflex is a multinational retailer with a presence in 14 countries, offering a wide range of products and services to its members. With a strong commitment to innovation and customer satisfaction, arenaflex has established itself as one of the world's best places to work, ranking seventh in Forbes' "World's Best Bosses" list. Our company culture is built on a foundation of teamwork, collaboration, and continuous learning, providing a supportive and inclusive environment for our employees to grow and succeed.

Job Summary

We are seeking an experienced Full Stack Data Architect to join our team at arenaflex. As a Data Architect, you will be responsible for designing and implementing data solutions that drive business growth and improve customer experiences. You will work closely with cross-functional teams to develop and maintain data models, data quality, and data governance, ensuring that our data is accurate, reliable, and secure.

Key Responsibilities

* Lead the design and implementation of data solutions: Develop and maintain data models, data quality, and data governance, ensuring that our data is accurate, reliable, and secure.

  • Define and implement data standards: Establish and maintain data standards, including data definitions, data types, and data formats, to ensure consistency and accuracy across the organization.
  • Develop and maintain data documentation: Create and maintain documentation that records how data should be moved from source systems to the utilization layer, including source-to-target mappings.
  • Collaborate with stakeholders: Work closely with cross-functional teams, including business stakeholders, data analysts, and data scientists, to understand business requirements and develop data solutions that meet those needs.
  • Stay up-to-date with industry trends: Stay current on industry trends and advancements in data-related technologies, models, and techniques, and apply that knowledge to improve our data solutions.
  • Analyze and improve data quality: Identify and address data quality issues, and develop and implement processes to improve data quality and accuracy.
  • Develop and maintain data architecture: Develop and maintain data architecture, including data models, data warehouses, and data lakes, to support business applications and analytics.
  • Lead data governance: Lead data governance initiatives, including data security, data compliance, and data privacy, to ensure that our data is secure and compliant with regulatory requirements.
  • Mentor and train others: Mentor and train other data professionals on data architecture, data modeling, and data governance best practices.

Requirements

* Bachelor's degree in Computer Science, Information Technology, or related field: A bachelor's degree in Computer Science, Information Technology, or a related field is required.

  • 5+ years of experience in data architecture: 5+ years of experience in data architecture, including experience with data modeling, data governance, and data quality.
  • Experience with cloud technologies: Experience with cloud technologies, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Experience with big data technologies: Experience with big data technologies, including Hadoop, Spark, and NoSQL databases.
  • Strong analytical and problem-solving skills: Strong analytical and problem-solving skills, with the ability to analyze complex data problems and develop effective solutions.
  • Excellent communication and collaboration skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Certifications in data architecture: Certifications in data architecture, such as Certified Data Architect (CDA) or Certified Information Systems Security Professional (CISSP), are a plus.

Preferred Qualifications

* Master's degree in Computer Science, Information Technology, or related field: A master's degree in Computer Science, Information Technology, or a related field is a plus.

  • Experience with data engineering: Experience with data engineering, including experience with data pipelines, data processing, and data storage.
  • Experience with data science: Experience with data science, including experience with machine learning, data visualization, and statistical analysis.
  • Experience with data governance: Experience with data governance, including experience with data security, data compliance, and data privacy.
  • Experience with agile development methodologies: Experience with agile development methodologies, including experience with Scrum, Kanban, or Lean.

Work Environment and Company Culture

arenaflex offers a dynamic and supportive work environment, with a strong focus on teamwork, collaboration, and continuous learning. Our company culture is built on a foundation of innovation, customer satisfaction, and employee engagement, providing a supportive and inclusive environment for our employees to grow and succeed.

Compensation and Benefits

arenaflex offers a competitive compensation package, including a salary range of $100,000 to $150,000 per year, depending on experience. We also offer a comprehensive benefits package, including health insurance, retirement savings, and paid time off.

How to Apply

If you are a motivated and experienced data professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer, committed to diversity and inclusion. We welcome applications from qualified candidates of all backgrounds, including women, minorities, and individuals with disabilities.

Disclaimer

arenaflex is not responsible for any errors or omissions in this job posting. The information provided is subject to change, and arenaflex reserves the right to modify or cancel this job posting at any time. Apply for this job

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