We are seeking a highly skilled Solution and System Architect to join our dynamic team. The ideal candidate will lead the solution end-to-end for the AT&T flagship app, focusing on client-side standards based on React Native. You will drive technological enablers, define both functional and non-functional requirements, and work closely with business, product, and development teams to set and maintain high standards for the mobile app.
Key Responsibilities:
Lead the solution end-to-end, from planning to production, with a focus on the AT&T React Native app
Collaborate with business and product managers to prepare and refine business requirements
Define and ensure adherence to non-functional requirements such as performance, security, resiliency, scalability, and operability
Design innovative, valid, and implementable solutions aligned with client-side standards
Guide the discovery team alongside the product manager and integrate with the Scrum team
Support the development team with detailed design, implementation options, tools, libraries, patterns, and best practices specific to React Native
Optimize processes and serve as the focal point for technological enablers
Act as a trusted customer advocate, helping organizations adopt advanced solutions and migrate existing workloads
Drive discussions with a wide range of customer personnel from enterprise architects to developers regarding trade-offs, best practices, and risk mitigation
Requirements: 3+ years of experience in data architecture, system architecture, or related technical roles.
Strong hands-on experience designing and implementing ETL (Extract, Transform, Load) pipelines using industry-standard tools (e.g., Azure Data Factory, Informatica etc ..)
Deep understanding of data modeling, data warehousing, and data governance best practices.
Proven experience with data integration, data migration, and building scalable data solutions.
Experience designing and deploying cloud-based data and AI solutions, preferably on Microsoft Azure.
Solid understanding of AI/ML concepts, architecture patterns, and practical deployment in production environments.
Experience integrating AI/ML models into data pipelines and operational systems.
Strong knowledge of security, compliance, and privacy considerations in data and AI architectures.
Excellent communication skills, with the ability to translate complex technical concepts for business stakeholders.
Preferred/Advantageous Skills:
Familiarity with Azure data services, including (but not limited to):
Azure Data Factory
Azure Databricks
Azure Machine Learning
Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer, Azure AI Engineer).
Experience with other cloud platforms (AWS, GCP) and hybrid/cloud data architectures.
Familiarity with MLOps and DevOps practices for data and AI solutions.
Experience with real-time/streaming data solutions (e.g., Azure Stream Analytics, Kafka).
Knowledge of containerization and orchestration (e.g., Docker, Kubernetes) in data/AI workloads.
This position is open to all candidates.