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Data Solutions ArchitectIBM • United States
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Data Solutions Architect

IBM
  • US
    United States
  • US
    United States
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À propos

Introduction At IBM Software, we are dedicated to transforming client challenges into effective solutions. We build groundbreaking AI-powered, cloud-native products that are shaping the future of businesses and society as a whole. Our long-standing commitment to innovation provides endless opportunities for IBMers to learn, grow, and make a meaningful impact worldwide. By joining our Software team, you will collaborate with diverse technologies, partners, and industries to design, develop, and deliver solutions that drive digital transformation. Embracing a culture that values innovation, growth, and continuous learning, IBM Software places you at the center of IBM's product and technology landscape, equipping you with the tools and opportunities to advance your career while creating software that makes a difference. Your role and responsibilities NAVI is an enterprise intelligence platform that specializes in churn risk detection, utilization analytics, renewal forecasting, and telemetry integration across various business systems. As a Data Solutions Architect, you will be responsible for the architecture, governance, and operational reliability of NAVI's structured data ecosystem. This position is ideal for a data professional with strong analytical engineering abilities, adept at translating business needs into effective technical solutions, while maintaining a disciplined approach to metadata governance and data quality management. Required technical and professional expertise Advanced SQL skills (Postgres preferred).
Experience in dimensional modeling and analytical schema design.
Proficiency in Python for ETL and data pipeline development.
Experience in delivering enterprise analytics or data solutions.
Strong communication skills with stakeholders and proficiency in requirements translation.
Familiarity with cloud-based data environments (Azure or AWS).
Preferred technical and professional experience Experience with CRM data models (e.g., Salesforce).
Knowledge of churn, retention, or utilization analytics.
Exposure to infrastructure-as-code tools such as Terraform.
Experience with vector databases or embedding pipelines.
IBM is committed to fostering a diverse environment and proudly stands as an equal-opportunity employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM also prioritizes compliance with fair employment practices related to citizenship and immigration status.
  • United States

Compétences linguistiques

  • English
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