Data Visualization Platform Engineer
- Platform Architecture & Automation: Design, implement, configure, and maintain the data visualization (DV) platform infrastructure, including developing automation scripts for deployment and monitoring.
- Business Translation & Strategy: Serve as the technical liaison, translating complex business reporting and self-service needs into technical specifications and actionable solutions for the platform roadmap.
- Data Governance & Security: Manage user access, define roles and permissions, implement authentication, and enforce data governance policies across the platform.
- Adoption & Best Practices: Promote visualization best practices, ensure consistency and clarity in design, and drive the effective adoption of DV tools across the company.
- Operational Support: Provide Tier 2/3 technical support for complex platform issues, collaborating with vendors to resolve critical outages and bugs.
- Innovation & Enablement: Stay current with emerging DV technologies, assess and implement new features, and deliver technical training and documentation to enhance platform value.
- Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Business/ IT Systems Management, or a related field.
- 3+ years focused on major data visualization platforms (e.g., Domo, Sigma, Tableau, or similar) .
- Proficiency in writing complex SQL queries to integrate data into visualization tools.
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and understanding of cloud data services (e.g., Snowflake, BigQuery).
- Strong blend of technical and business acumen with excellent communication skills to articulate complex concepts and present compelling, data-driven insights that influence strategic decisions.
- Proven ability in analytical and creative problem-solving, with a consistent focus on detail and developing actionable solutions.
- Demonstrated track record of independent work, strong accountability, and a sense of urgency in driving tasks to completion.
- Ability to work effectively and collaboratively with professionals from diverse backgrounds and varying technical skill levels.
- Excellent time management and organizational skills to ensure the timely completion of tasks and strict adherence to deadlines.
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