BI Engineer

Role Description:

Lets do this. We are seeking an experienced Senior BI Engineer to lead the design, development, and optimization of scalable business intelligence (BI) solutions that empower data-driven decision-making across the organization. The ideal candidate is highly skilled in data modeling, dashboard development, ETL design, and cloud-based BI platforms, with a passion for turning complex data into clear, actionable insights. As a senior member of the BI team, you will work closely with data engineers, analysts, business stakeholders, and product teams to deliver robust, user-friendly analytics solutions that support strategic and operational goals.

Roles & Responsibilities:

• Design, develop, and maintain enterprise-grade BI dashboards and reports using tools like Power BI, Tableau, or Looker.
• Build and optimize semantic models, tabular data structures, and reusable datasets for self-service BI users.
• Partner with business stakeholders to translate requirements into technical solutions, delivering accurate, relevant, and timely insights.
• Work closely with data engineering teams to integrate BI solutions into data lake, warehouse, or lakehouse architectures (e.g., Snowflake, Redshift, Databricks, BigQuery).
• Implement best practices for BI development, including version control, performance optimization, and data governance.
• Ensure BI solutions are secure, scalable, and aligned with enterprise data governance standards.
• Mentor junior BI developers and analysts, setting standards for dashboard usability, data visualization, and design consistency.
• Collaborate with cross-functional teams to promote self-service BI adoption and data literacy throughout the organization.
• Monitor BI performance, usage, and adoption, providing continuous improvements and training to enhance impact.

Must-Have Skills:

• 5 - 8 years of experience in BI development and data visualization, with deep expertise in tools such as Power BI, Tableau, or Looker.
• Strong knowledge of SQL, data modeling techniques, and BI architecture best practices.
• Experience working with data warehouses and cloud data platforms
• Proficiency in building dashboards, KPIs, and executive-level reporting that align with business priorities.
• Solid understanding of ETL/ELT processes, data pipelines, and integration with BI tools.
• Strong collaboration skills with the ability to work effectively across engineering, product, finance, and business teams.
• Excellent communication skills, with a proven ability to translate technical concepts into business value.

Good-to-Have Skills:

• Experience in cloud platforms (AWS, Azure, or GCP) and modern data stack environments.
• Familiarity with data governance, data cataloging, metadata management, and access control.
• Exposure to Agile methodologies, CI/CD for BI, and DevOps practices.
• BI or data certifications (e.g., Microsoft Certified: Power BI Data Analyst, Tableau Certified Professional).

Education and Professional Certifications

• Masters degree and 3 to 4 + years of Computer Science, IT or related field experience
• OR
• Bachelors degree and 5 to 8 + years of Computer Science, IT or related field experience
• PowerBI / Tableau certifications preferred
• Scaled Agile SAFe certification preferred

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Ability to learn quickly, be organized and detail oriented.
• Strong presentation and public speaking skills.