Data Architect

7 days ago

Houston, United States Compunnel Full time

We are seeking a results-driven, detail-oriented, and experienced Data Architect to lead the design and implementation of scalable, cloud-native data solutions. This role requires deep expertise in enterprise data architecture, cloud services (preferably AWS), and hands-on experience in data modeling, data governance, and security. You will play a key role in shaping the strategic vision and delivering innovative, cost-effective solutions aligned with business objectives. Job Responsibilities: Lead architecture strategy and end-to-end solutioning for enterprise data systems. Develop conceptual, logical, and physical data models supporting structured and unstructured data. Architect scalable, flexible, and cost-effective enterprise data platforms in a cloud environment (AWS preferred). Define and implement data governance frameworks, data mastering, metadata management, and taxonomies. Collaborate with cross-functional teams to understand use cases and deliver architectural solutions. Perform vendor assessments and recommend third-party solutions when appropriate. Document architectural designs and data flows at multiple levels of abstraction. Act as a key liaison between IT, DevOps, security, application teams, and senior leadership. Drive alignment between business strategies and technical implementations. Evangelize architectural recommendations to leadership and stakeholders. Required Skills: Expertise in cloud-based data architecture (AWS preferred; Azure/GCP acceptable). Proficient in data modeling, data governance, and metadata management. Experience with AWS services such as Redshift, DynamoDB, Glue, S3, etc. Strong knowledge of architecture frameworks including microservices, event-driven architecture, and API management (OAuth). Fluency in architecture documentation: conceptual, logical, physical diagrams and data flows Ability to translate business needs into technical solutions. Excellent communication, leadership, and stakeholder management skills. Preferred Skills: Background in semantic layer design and ontologies. Knowledge of data security and compliance standards (e.g., GDPR, HIPAA). Experience with POC development and technical evaluations. Familiarity with DevOps practices and CI/CD environments. Certifications: AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect preferred #J-18808-Ljbffr

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