Principal Data Architect

Responsibilities

• Design, develop and maintain data solutions using best practices.
• Architect complex data integration solutions using modern practices like APIs, messaging buses, and event streaming platforms to connect disparate data sources.
• Develop a long-term, reliable vision and roadmap for how data will be collected, stored, managed, and utilized across the entire organization to achieve business objectives.
• Define and implement policies, procedures, and standards for data quality, consistency, security, and compliance (e.g., GDPR, HIPAA).
• Lead the creation of conceptual, logical, and physical data models to illustrate how data elements relate to each other and guide database design.
• Research, evaluate, and recommend appropriate data technologies, tools, and platforms (cloud-based or on-premise) that align with business needs and future scalability requirements.
• Continuously monitor and optimize existing data infrastructure for performance, security, and cost-efficiency.
• Design and implement robust CI/CD pipelines to automate the building, testing, and deployment of data solutions. This includes automating infrastructure provisioning using Infrastructure as Code (IaC).
• Provide architectural analysis for data integrations including definition of standards for scalability, security, error handling, and auditing.
• Lead the design and evolution of hybrid infrastructure, blending cloud and on-premise systems into a unified, scalable, and reliable data platform.
• Define and enforce data governance policies and security controls across all data and infrastructure, ensuring compliance with privacy regulations.
• Build data ingestion and integration pipelines using tools like Apache Kafka or ETL technologies.
• Assist in estimating and scoping of all data integration-related implementations.
• Drive the Design, Development & Deployment of data flows.
• Implement DevOps Best practices for all data integrations, participate in all types of testing, including unit testing, point-to-point testing, end-to-end testing &UAT.
• Support/enhance/create integrations to address business requirements, ensuring all related processes meets best-in-class standards offering high performance.
• Build continuous improvement process for complex data systems, tools & reports.
• Serve as resource to internal, offshore team & third-party team members on escalated issues, analyzing and designing specifications for less experienced team members.
• Pursue self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers.
• Serve as a resource to internal, offshore MuleSoft & onsite Dev Platform engineering teams and third-party team members on escalated issues and analyzing & designing specifications for less experienced team members.
• Supervise 2 employees (Advanced Dev Ops Engineers).

Requirements

• 3 or 4 year Bachelor's degree in Computer Science, Engineering, Math, Computer Information Systems or a related field of study plus 7 years of experience in a related occupation.
• 7 years of experience with MuleSoft platform architecture and development.
• 6 years of experience with IBM Integration Bus development and MQ Development.
• 6 years of experience with Java development, Kafka and ETL.
• 6 years of experience with Site Reliability Engineering and Infra as a code.
• 5 years of experience with Kubernetes and OpenShift and Infra as a service.
• 5 years of experience with Okta OR PING.
• 5 years of experience with API gateway.
• 3 years of experience with Azure CICD, Hashicorp OR Delinea Secrets.

Pay

The salary for this role is $202,779.00, along with eligibility to earn an annual bonus.