Senior AWS Data Architect

• Senior Data Architect - AWS
• $170,000-190,000
• The ideal candidate brings a combination of deep technical expertise, architectural leadership, and the ability to align technology solutions with evolving business objectives. This role will play a key part in modernizing data ecosystems and driving long-term data strategy.

Key Responsibilities

• Define and maintain current-state and future-state data architecture roadmaps, including migration and modernization strategies.
• Develop architectural recommendations that balance scalability, performance, cost, security, and implementation timelines.
• Partner with stakeholders to align data capabilities with strategic business initiatives and operational goals.
• Design and implement robust data integration frameworks supporting batch, streaming, and event-driven architectures.
• Architect scalable, high-performance data pipelines and distributed data processing solutions within AWS environments.
• Establish enterprise data models, standards, and reference architectures across operational and analytical platforms.
• Evaluate and integrate modern AI and machine learning enablement technologies, including vector-based data solutions, retrieval frameworks, and large language model architectures.
• Promote automation, infrastructure-as-code, CI/CD, and reusable engineering patterns to improve efficiency and consistency.
• Lead data governance, metadata management, data quality, and security initiatives throughout the data lifecycle.
• Provide technical leadership, mentorship, and architectural guidance to engineering and data teams.
• Collaborate across technology and business functions to drive innovation and continuous improvement.

Required Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
• 15+ years of experience in data architecture, data engineering, or enterprise data management.
• Extensive experience designing and implementing cloud-based data platforms, preferably within AWS.
• Strong background in enterprise data modeling, data integration, and data architecture frameworks.
• Experience with large-scale data warehouse, data lake, or lakehouse architectures.
• Expertise in streaming and event-driven technologies, including Apache Kafka or similar platforms.
• Knowledge of modern AI-enabled data architectures, including vector databases, retrieval mechanisms, and generative AI implementations.
• Experience establishing enterprise standards, governance frameworks, and data quality practices.
• Proven ability to lead technical strategy and influence cross-functional stakeholders.
• TOGAF certification or equivalent enterprise architecture framework experience preferred.

Preferred Technical Skills

• AWS data and analytics services
• Cloud-native architecture and modernization
• Data lakes, lakehouses, and data warehouses
• Apache Kafka and streaming technologies
• Data modeling and metadata management
• Data governance and security frameworks
• Infrastructure as Code (IaC)
• CI/CD and DevOps practices
• Generative AI, RAG, vector databases, and orchestration frameworks
• Enterprise architecture methodologies