Data Architect

The client is seeking a hands-on Data Architect to lead the design and development of its enterprise-wide data platform. You will architect scalable solutions from data ingestion to visualization, enabling actionable insights across the business. As a strategic and technical leader, you’ll collaborate with executives and cross-functional teams to gather requirements, define data models, and build analytics solutions using modern tools such as Snowflake, dbt, and Tableau. This is a high-impact role requiring both architectural vision and the ability to code and optimize the data stack directly. Responsibilities • Architect and implement data pipelines from ingestion to visualization using Snowflake, dbt, and Tableau. • Model and transform non-uniform data for analytics and dashboards. • Optimize platform performance and ensure data quality, reliability, and security. • Develop reusable components, SQL queries, and scripts using Python, JavaScript, and HTML. • Collaborate across teams to gather requirements and deliver data-driven insights. • Provide mentorship and code reviews for junior engineers. • Manage data access controls, CI/CD pipelines, and version control in GitHub. Qualifications • Bachelor’s degree in Computer Science or related field. • 10+ years of data engineering experience; 8+ years with data warehousing (Snowflake preferred). • Strong SQL skills; experience with dbt Cloud and semantic modeling. • Expertise in Tableau dashboarding and data source creation. • 2+ years of Python; familiarity with JavaScript/HTML preferred. • Experience integrating with tools such as Salesforce, Oracle, Workday, Jira, and Anaplan. • Strong communication skills and stakeholder engagement experience. Type: Contract (6+ months) Location: United States (Remote)