Analytics Architect

Rumpke Waste & Recycling • Colerain Township, OH

5d

About The Position

As a member of the Data and Analytics team, the Analytics Architect works between data engineering and the business, transforming raw, well-structured data into governed, business-friendly semantic models that support self-service tools and analysts. The role owns semantic-layer strategy and architecture across all business domains; sets enterprise-wide modeling standards and technology direction; identifies and resolves cross-domain architectural risks; partners with the Data Architect on platform alignment; and mentors junior team members in architectural thinking. The position does not manage employees.

The job description characterizes the role as a general description of the work and notes that duties may change or include other assignments at the company’s discretion. Candidates must be legally eligible to work in the United States, able to read and speak English, and successfully complete pre-employment testing. A valid driver’s license is required if applicable.

Requirements

• Bachelor’s degree in Computer Science, Analytics, or a related field.
• At least 10 years of experience in data modeling, analytics engineering, or data architecture.
• Experience setting enterprise-wide data modeling or semantic-layer standards.
• Extensive hands-on expertise with Snowflake or a comparable cloud data warehouse architecture, semantic layers, and SQL.
• Excellent analytical and problem-solving skills.
• Ability to independently resolve ambiguous or conflicting requirements.
• Ability to mentor and review less experienced team members’ work.
• Ability to drive alignment and prioritization across multiple stakeholders and competing priorities.
• Excellent written and verbal communication skills.
• Ability to diagnose root causes of data or reporting issues, not just identify symptoms.
• Legally eligible to work in the United States.
• Able to read and speak English.
• Must successfully complete pre-employment testing.
• Valid driver’s license, if applicable.

Nice To Haves

• Master’s degree.
• dbt Analytics Engineering Certification.
• Snowflake SnowPro Core Certification.

Responsibilities

• Define and own the semantic-layer strategy and architecture across all domains, maintaining consistency as domains and use cases are added.
• Set enterprise-wide data modeling standards, patterns, and technology choices for Analytics Engineering, and influence their adoption without direct management authority.
• Evaluate and select tools and technologies for the semantic and analytics layer, considering cost, scalability, and long-term maintainability.
• Identify cross-domain architectural risks or inconsistencies and drive resolution across multiple domains.
• Partner with the Data Architect to align platform architecture with analytics and semantic-layer architecture.
• Advise team leadership on long-term analytics architecture strategy and the future effects of current decisions on scalability and flexibility.
• Establish consistent frameworks for data quality, observability, and governance across domains.
• Serve as the final technical escalation point for complex, cross-domain modeling problems.
• Mentor junior team members in architectural thinking, in addition to modeling execution.
• Perform other duties as assigned.
• Travel between offices as required.
• Work flexible hours and work nights, weekends, holidays, or overtime as needed.

Benefits

• Competitive pay.
• Health insurance.
• Dental insurance.
• Vision insurance.
• Matching 401(k).
• Life insurance.
• Paid vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior