Principal Software Architect, Graph

🕒 Outubro 14

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Acxiom

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1968

💼 Consultoria

🏥 Saúde

🍽️ Alimentos e Bebidas

Consulting • Healthcare • Food & Beverage

A Acxiom é um provedor líder de serviços de dados que se especializa em aproveitar a gestão de dados, resolução de identidade, análises e serviços de martech para ajudar as empresas a melhorar seus esforços de marketing. Com um compromisso com o uso ético de dados, a Acxiom oferece soluções em diversos setores, como automotivo, saúde, telecomunicações, serviços financeiros e varejo. Sua expertise auxilia na otimização de estratégias de marketing para adquirir, reter e expandir os relacionamentos com clientes. A Acxiom faz parceria com plataformas renomadas como Adobe, Salesforce e Snowflake para impulsionar o marketing orientado por dados e permitir a transformação digital para seus clientes.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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

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