Entprise Data Architect

Charter Solutions is hiring an Enterprise Data Architect responsible for defining and advancing enterprise technology architecture, standards, roadmaps, and solution strategies across digital products, integration platforms, cloud environments, and data ecosystems. This role serves as a senior technology authority, translating business strategy and organizational objectives into scalable, secure, resilient, and cost-effective enterprise architecture.

The Enterprise Data Architect provides strategic direction across application architecture, enterprise integration, cloud platforms, Dev Ops, data engineering, and emerging technologies. The role establishes architectural principles and standards, evaluates technology investments, guides major transformation initiatives, and partners with executive, business, product, engineering, security, and infrastructure leaders to ensure technology decisions align with enterprise strategy and deliver measurable business value.

Core Responsibilities

• Define and maintain enterprise architecture strategies, principles, standards, reference architectures, and technology roadmaps across application, integration, cloud, data, and digital platforms.
• Lead architecture for complex enterprise initiatives, ensuring solutions are scalable, secure, resilient, interoperable, and aligned with long-term technology strategy.
• Establish enterprise integration strategies utilizing RESTful APIs, microservices, event-driven architecture, messaging, and interoperability patterns.
• Define cloud architecture strategies leveraging AWS services and cloud-native technologies, including Lambda, API Gateway, ECS/EKS, S3, DynamoDB, SNS, SQS, Event Bridge, Cloud Watch, and IAM.
• Establish and govern Dev Ops, CI/CD, infrastructure automation, observability, resiliency, security, and platform engineering standards.
• Define enterprise approaches for Infrastructure as Code, including Terraform, and modern containerization using Docker and Kubernetes.
• Develop enterprise data architecture strategies supporting operational, analytical, real-time, and AI-driven capabilities.
• Provide architectural direction for Databricks, Spark, Medallion Architecture, ETL/ELT, data pipelines, data modeling, and data integration.
• Define strategies for enterprise data and event integration utilizing Kafka, MSK, Kinesis, and similar streaming technologies.
• Evaluate and guide the use of SQL and No
  
  SQL platforms, including Oracle, PostgreSQL, DynamoDB, and other enterprise data technologies.
• Lead architecture reviews and provide technical governance for high-impact programs, ensuring adherence to enterprise standards and architectural principles.
• Partner with business, product, engineering, security, infrastructure, and data leaders to translate business objectives into technology strategies, target architectures, and actionable roadmaps.
• Evaluate emerging technologies, platforms, vendors, and architectural approaches and provide recommendations based on business value, scalability, security, cost, risk, and technical sustainability.
• Establish architectural guardrails while enabling engineering teams to make effective technology decisions within defined enterprise standards.
• Provide technical leadership, coaching, and mentorship to architects, engineers, developers, and technical delivery teams.
• Identify opportunities to simplify technology landscapes, modernize legacy platforms, reduce technical debt, and improve enterprise engineering effectiveness.
• Guide architecture decisions related to AI-assisted development, automation, testing, operational intelligence, and emerging AI capabilities.

Additional Responsibilities

• Represent Enterprise Architecture in architecture review boards, technology governance forums, investment…