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About careeraxis – A Global Retail Powerhouse
careeraxis is one of the world’s largest retail organizations, operating in more than a dozen countries and serving millions of customers every day. Recognized for its employee‑first culture and consistently ranked among the top workplaces by leading business publications, careeraxis combines a fast‑paced, technology‑driven environment with a strong commitment to community, sustainability, and personal growth. Our mission is to leverage sophisticated data insights to deliver better products, more convenient services, and unforgettable experiences for shoppers worldwide.
Why This Role Matters
As a Data Architect at careeraxis, you will be the strategic guardian of the data ecosystem that powers our core business functions—product catalog, supplier relationships, inventory management, and more. Your designs will directly influence how quickly and accurately business teams can access critical information, enabling smarter decisions, faster time‑to‑market, and a competitive edge in the retail sector.
Key Responsibilities
- Serve as the subject‑matter expert for careeraxis’s enterprise data domains such as Sales, Inventory, Promotions, and Supplier Management.
- Define, document, and maintain canonical data sets for consumption across analytics, reporting, and operational applications.
- Develop and enforce data architecture standards, design patterns, and governance policies to ensure data quality, security, and consistency.
- Create comprehensive data flow documentation, including source‑to‑target mappings, transformation rules, and lineage diagrams.
- Partner with Data Stewards and Business Analysts to capture and codify business metadata, ensuring a shared understanding of data definitions.
- Evaluate existing data models and recommend enhancements that improve performance, scalability, and maintainability.
- Stay abreast of emerging data technologies, industry trends, and best practices to continuously evolve careeraxis’s data platform.
- Provide actionable recommendations based on data quality assessments and root‑cause analyses.
- Lead cross‑functional data design initiatives in collaboration with Business Engineering, Application Development, and Platform Teams.
- Design, build, and maintain logical, conceptual, and physical data models that support both transactional (OLTP) and analytical (OLAP) workloads.
- Translate complex business requirements into robust, future‑proof data architecture solutions.
- Collaborate with data integration and data platform teams to implement continuous improvement through innovative technologies.
- Define data integration, capacity, replication, and change management strategies for enterprise‑wide solutions.
- Participate in the delivery of functional business performance monitoring capabilities.
- Conceptualize new data products together with database designers, data scientists, and data engineers.
- Mentor and coach junior data architects on emerging techniques, standards, and tools.
Essential Qualifications
- Graduate‑level education in Computer Science, Information Systems, Data Engineering, or a related discipline.
- Deep understanding of data set capacity concepts, including relational databases, NoSQL stores, and big‑data platforms.
- Hands‑on experience with data modeling tools such as ER/Studio, Erwin, or PowerDesigner.
- Proven track record designing and delivering data integration and ETL solutions at scale.
- Demonstrated ability to design high‑performance data models that support mission‑critical business applications.
- Willingness to provide on‑call support on a rotating schedule, including evenings, weekends, and holidays as needed.
Preferred Qualifications & Experience
- 2+ years of experience in data engineering with large, complex data sets.
- 2+ years of hands‑on work with cloud technologies such as Azure SQL Database, Azure Data Lake Storage (ADLS), Azure Databricks, and other related data services.
- Expertise in architecting and building OLTP data models that enable real‑time business applications.
- Familiarity with data standardization processes and data governance frameworks.
- Experience driving data engineering initiatives through agile development methodologies.
- Strong interest in the retail industry and its unique data challenges.
- Demonstrated success leading software development teams or collaborating closely with them.
- Excellent verbal and written communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
Core Skills & Competencies
- Data Modeling & Architecture: Conceptual, logical, and physical design of data structures.
- Data Integration: ETL/ELT design, data pipelines, and workflow orchestration.
- Cloud Platforms: Proficiency with Azure data services (SQL DB, ADLS, Databricks) and familiarity with other cloud ecosystems.
- Database Technologies: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cassandra), and big‑data (Spark, Hadoop).
- Data Governance: Metadata management, data quality frameworks, and security compliance.
- Analytical Thinking: Ability to translate business problems into scalable data solutions.
- Collaboration: Strong partnership skills with cross‑functional teams, including product owners, engineers, and analysts.
- Mentorship: Commitment to developing junior talent and fostering a learning culture.
Career Growth & Learning Opportunities
careeraxis invests heavily in the professional development of its employees. As a Data Architect, you will have access to:
- Industry‑leading training programs on cloud data platforms, advanced analytics, and emerging data technologies.
- Mentorship from senior technology leaders and the chance to lead high‑visibility, enterprise‑wide initiatives.
- Opportunities to obtain certifications such as Microsoft Certified: Azure Data Engineer Associate, TOGAF, or Certified Data Management Professional (CDMP).
- A clear career ladder that can lead to roles such as Lead Data Architect, Data Platform Manager, or Director of Enterprise Architecture.
Work Environment & Culture at careeraxis
Our remote‑first policy empowers you to work from anywhere in the United States while staying closely connected to a vibrant, collaborative community. careeraxis’s culture is built on four pillars:
- People‑First: We prioritize employee well‑being, offering flexible schedules, generous paid time off, and comprehensive health benefits.
- Innovation‑Driven: Teams are encouraged to experiment, prototype, and bring new ideas to market quickly.
- Inclusivity & Diversity: A workplace where every voice is heard, and diverse perspectives fuel better decision‑making.
- Community Impact: careeraxis supports charitable initiatives, sustainability programs, and local community outreach.
Compensation, Perks & Benefits
We offer a competitive hourly rate of $20‑$30 per hour, commensurate with experience and expertise. In addition to base compensation, careeraxis provides:
- Health, dental, and vision insurance plans with employer contributions.
- Retirement savings options with company matching.
- Generous paid parental leave and family‑friendly policies.
- Professional development stipend for courses, conferences, and certifications.
- Employee assistance programs, wellness resources, and mental‑health support.
- Access to cutting‑edge technology stacks and a collaborative, supportive team environment.
How to Apply
If you are passionate about shaping the data foundation of a global retail leader and thrive in a dynamic, remote work setting, we want to hear from you. Join careeraxis and help redefine how data drives business success.
Apply Now – Start Your Journey with careeraxis!
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