Design and implement enterprise data architecture, data models, and cloud data warehouse solutions.
Design data solutions, APIs, ETL/ELT pipelines, and data integration frameworks.
Collaborate with Enterprise Architecture, Security, Infrastructure, Data Engineering, Product Owners, and business stakeholders to translate business requirements into scalable data solutions.
Act as the technical expert for system architecture, performance, integration, security, and data pipeline design.
Design logical and physical data models, entity relationship diagrams, and technical architecture diagrams.
Build and support CI/CD pipelines, automated deployments, and self-service development tools.
Evaluate new technologies and provide recommendations for data engineering and architecture improvements.
Lead data quality, governance, and data management initiatives.
Provide production support, troubleshooting, and escalated on-call support for critical incidents.
Participate in infrastructure planning, legacy system modernization, monitoring improvements, and technical documentation.
Mentor development teams and provide technical leadership across projects.
Manage multiple priorities in a fast-paced Agile environment.
Required Skills
Strong experience in Snowflake Data Warehouse Architecture.
Expertise in Data Architecture, Data Modeling, and Cloud Data Platforms.
Hands-on experience with Fivetran, dbt (DBT), ETL/ELT, and Data Pipelines.
Experience with Enterprise Data Modernization projects.
Strong knowledge of API Design, Data Integration, and Data Security.
Experience with CI/CD pipelines and automated deployment processes.
Knowledge of Master Data Management (MDM) tools (preferred).
Experience implementing Data Quality, Data Governance, and Data Management best practices.
Strong analytical, problem-solving, communication, presentation, and stakeholder management skills.
Ability to lead technical initiatives, mentor teams, and work independently in an Agile environment