Principal Software Architect, Graph

🕒 il y a 16 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Acxiom, pas via un site d'emploi

Repérée par Remote Rocketship il y a 16 jours

Toujours ouverte sur le site de Acxiom. Vérifiée il y a 3 heures.

Logo of Acxiom

Acxiom

1001 - 5000 employés

Fondée en 1968

💼 Conseil

🏥 Santé

🍽️ Alimentation et boissons

Consulting • Healthcare • Food & Beverage

Acxiom est un prestataire de services de données de premier plan spécialisé dans l'exploitation de la gestion des données, la résolution d'identité, l'analytique et les services de martech pour aider les entreprises à renforcer leurs efforts marketing. Avec un engagement pour l'utilisation éthique des données, Acxiom propose des solutions dans divers secteurs tels que l'automobile, la santé, les télécommunications, les services financiers et le commerce de détail. Leur expertise aide à optimiser les stratégies marketing pour acquérir, fidéliser et développer les relations clients. Acxiom s'associe à des plateformes renommées telles qu'Adobe, Salesforce et Snowflake pour promouvoir un marketing axé sur les données et permettre la transformation numérique de leurs clients.

Description

• Define and drive architecture for enterprise-scale Identity Resolution platforms and services • Design deterministic and probabilistic identity matching, entity resolution, identity graphs, record linkage, deduplication, and identity consolidation systems • Develop architectures resolving identities across large, diverse, and rapidly changing datasets • Design real-time and batch Identity Resolution solutions • Define strategies for confidence scoring, survivorship, source prioritization, identity linking, and identity lifecycle management • Design and optimize low-latency, high-throughput, highly available APIs and services • Architect distributed applications and services using Java, Python, and Scala • Design high-scale Apache Spark data-processing pipelines and platforms • Design and optimize Snowflake and Databricks data solutions • Design efficient data models and SQL-based solutions for transactional, analytical, and Identity Resolution workloads • Define caching, concurrency, partitioning, indexing, persistence, and data-access strategies • Define AWS cloud-native architectures and integration patterns across AWS, Snowflake, Databricks, internal applications, APIs, and external data providers • Evaluate technologies, frameworks, databases, processing engines, and architectural approaches • Establish standards and best practices for application architecture, APIs, data architecture, distributed processing, security, observability, testing, and software development • Partner with engineering teams to translate architectural designs into scalable, maintainable implementations • Provide technical direction and help resolve performance, scalability, and design challenges • Conduct architecture and design reviews • Identify bottlenecks and guide optimization of APIs, applications, Spark workloads, SQL queries, and distributed systems • Define resiliency, fault tolerance, high availability, disaster recovery, and operational monitoring approaches • Collaborate with engineering, data engineering, product, security, infrastructure, and business stakeholders • Mentor senior engineers, technical leads, and architects • Stay current with Identity Resolution, distributed systems, cloud computing, data platforms, and software architecture practices

🎯 Exigences

• 10+ years of professional software engineering experience, including significant experience designing complex enterprise software systems • Proven experience serving as an Architect, Principal Engineer, Staff Engineer, or equivalent senior technical leader • Deep experience designing and implementing Identity Resolution, Entity Resolution, identity graph, Customer 360, Master Data Management, or similar systems • Strong expertise in Java, Python, and Scala • Deep experience with Apache Spark, including architecture, optimization, partitioning, distributed execution, performance tuning, and large-scale processing • Advanced proficiency in SQL, including complex queries, relational data modeling, query optimization, and performance tuning • Experience designing REST APIs, microservices, distributed applications, and high-throughput backend services • Experience designing and optimizing low-latency APIs • Strong understanding of distributed systems concepts, including concurrency, caching, partitioning, consistency, resiliency, scalability, and fault tolerance • Extensive experience with AWS and cloud-native application architecture • Strong experience with Snowflake and Databricks • Experience designing systems spanning application, API, distributed-processing, data, and cloud infrastructure layers • Strong understanding of software engineering principles, design patterns, API design, data structures, algorithms, and application performance • Experience with modern CI/CD practices, automated testing, source control, and production software delivery • Strong understanding of security, privacy, authentication, authorization, encryption, and data-protection practices • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline, or equivalent professional experience • Excellent analytical, problem-solving, written communication, and verbal communication skills • Preferred: experience with graph databases, probabilistic matching, machine learning-based matching, event-driven and streaming architectures, Docker, Kubernetes, Terraform, CloudFormation, multi-region architectures, enterprise architecture standards, legacy modernization, and large-scale identity datasets

🏖️ Avantages

• Equal opportunity employment statement, including disability and protected veteran status • Remote/Homebased work arrangement

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