Enterprise Data Architect – AI Solutions Leader

🕒 il y a 2 jours

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

AnswerRocket

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2013

🤖 Intelligence artificielle

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

AnswerRocket est une plateforme d'analytique innovante de GenAI conçue pour transformer les analyses métier et les rapports à travers une intelligence artificielle avancée. En intégrant divers modèles de langage à grande échelle, AnswerRocket permet aux utilisateurs d'interagir avec les données en langage naturel, leur permettant de gagner des insights rapides et d'automatiser des analyses de données complexes. Son interface conviviale aide les organisations à maximiser leurs investissements dans les données, facilitant une prise de décision plus rapide et améliorant les résultats commerciaux dans divers secteurs tels que les biens de grande consommation, les services financiers et le commerce de détail.

Description

• Lead data strategy initiatives, including current-state assessments, enterprise architecture design, and governance frameworks • Design and implement cloud-native data lakehouse platforms using Databricks, Snowflake, and BigQuery with medallion architectures • Build real-time and batch data pipelines using ETL/ELT, streaming, and orchestration technologies • Architect and develop generative AI solutions, including RAG pipelines, multi-agent systems, and autonomous monitoring • Create advanced analytics and BI solutions with Tableau and Power BI • Lead technical teams, mentor data professionals, and drive innovation lab initiatives • Conduct client discovery sessions and translate complex technical concepts for executive audiences • Implement MLOps, feature stores, and AI/ML pipelines with performance optimization • Establish data governance standards, quality monitoring, and observability engineering practices

🎯 Exigences

• Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent industry experience • 10+ years of experience in data architecture and engineering • 5+ years of experience in enterprise-scale systems • 3+ years of experience with AI/ML platforms • Hands-on expertise with Databricks, Delta Lake, Unity Catalog, and modern data lakehouse architectures • Proficiency in TypeScript, Python, SQL, and cloud serverless architectures across AWS, GCP, or Azure • Experience building RAG pipelines, vector databases, LLM operations, and multi-model AI systems • Proven ability to lead technical teams and influence enterprise stakeholders • Ability to architect solutions and write production code • Excellent communication skills and ability to present to C-level executives and translate business requirements • Proven consulting experience with enterprise clients and strong business acumen • Applicants must reside in the United States • Must be authorized to work in the U.S. • Must not require employer sponsorship now or in the future

🏖️ Avantages

• Competitive salary with opportunities for growth and recognition • Health, dental, and vision insurance • Paid Time Off • Parental leave • Flexible remote-first work environment • Additional opportunities for in-person meetups • Professional growth and skills development • Mentorship • High-visibility projects and career-building opportunities