Indotronix International Corporation

Advisory Business Intelligence Engineer

US-AnywhereRemote in Oregon, OH
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-12 years' experience in Business Intelligence Engineering, Data Engineering, or Analytics Engineering
  • Advanced proficiency in Databricks and Lakehouse architecture
  • Expert-level SQL and Python skills with hands-on CI/CD experience
  • Extensive track record building dimensional models using Kimball principles
  • Demonstrated leadership in mentoring engineers and driving BI project delivery

Responsibilities

  • Architect and deliver enterprise semantic layers on Databricks Lakehouse and Unity Catalog
  • Design scalable, high-performance data models following Kimball best practices
  • Execute hands-on development in SQL and Python, including complex data transformations
  • Lead project delivery, ensuring milestones, quality, and stakeholder alignment
  • Conduct code reviews and enforce engineering standards for BI deliverables
  • Mentor and guide junior BI engineers, fostering a culture of technical excellence
  • Advise leadership on BI architecture, modeling strategy, and data governance

Benefits

  • 100% remote work flexibility
  • Opportunity to lead and influence data strategy at an enterprise level
  • Career advancement through high-visibility projects and leadership mentoring
  • Collaborative team environment with modern data stack technologies
Full Job Description
Advisory Business Intelligence Engineer | Remote, Oregon, United States Advisory Business Intelligence Engineer Location: Remote, United States | Job Type: C2C About the Role Join a high-impact team as an Advisory Business Intelligence Engineer, blending hands-on technical expertise with strategic leadership. You will shape the future of BI at an organization rapidly advancing its data platforms, leading the development of robust, enterprise-grade semantic models in Databricks. This is an influential position for a senior BI engineer or hands-on manager eager to drive best-in-class BI architecture, mentor talented engineers, and directly advise business and technology leadership. Enjoy a flexible remote work environment and the opportunity to work on highly visible, business-critical projects. Responsibilities - Architect and deliver enterprise semantic layers on Databricks Lakehouse and Unity Catalog - Design scalable, high-performance data models following Kimball dimensional modeling best practices - Execute hands-on development in SQL and Python, including complex data transformations - Lead project delivery, ensuring milestones, quality, and stakeholder alignment - Conduct code reviews and enforce engineering standards for BI deliverables - Mentor and guide junior BI engineers, fostering a culture of technical excellence - Advise leadership on BI architecture, modeling strategy, and data governance - Collaborate closely with Data Engineering and Analytics teams to ensure business needs are met - Pioneer BI best practices, CI/CD improvements, and development workflows Required Skills and Experience - 8-12 years' experience in Business Intelligence Engineering, Data Engineering, or Analytics Engineering - Advanced proficiency in Databricks, Lakehouse architecture, Delta, and Unity Catalog - Expert-level SQL and Python skills with hands-on CI/CD experience - Extensive track record building dimensional models and semantic layers using Kimball principles - Demonstrated leadership in mentoring engineers and driving BI project delivery - Strong communicator with proven advisory experience for business and technical stakeholders Preferred Skills - Experience with dbt - Background in Logistics or Retail analytics - Familiarity with BI governance, metadata management, and performance tuning Benefits - 100% remote work flexibility - Opportunity to lead and influence data strategy at an enterprise level - Career advancement through high-visibility projects and leadership mentoring - Collaborative team environment with modern data stack technologies How to Apply Ready to elevate your BI career? Submit your application and resume through our portal. Take the next step in leading enterprise BI transformation!

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