Analytics Architect
Employment type
Full-time
Work setting
On-site
Location
Cincinnati, OH
Schedule
Day shift
Posted
You'll be redirected to the employer's application page.
Job overview
The Analytics Architect is an onsite, full-time role in Cincinnati, OH. Compensation is not specified. The role is part of Rumpke’s Data and Analytics team, supporting the company’s waste and recycling services. This role owns the semantic-layer strategy and architecture across business domains, establishing standards that help analysts and self-service tools produce accurate, consistent answers. It aligns analytics architecture with the data platform, addresses cross-domain risks, and guides long-term scalability and data governance.
What you'll do
- Define semantic-layer strategy and architecture across domains
- set enterprise data-modeling standards, patterns, and technology choices
- evaluate analytics-layer tools and technologies
- identify and resolve cross-domain architectural risks
- partner with the Data Architect on platform alignment
- advise leadership on long-term strategy
- establish data quality, observability, and governance frameworks
- serve as technical escalation point for complex modeling issues
- mentor junior team members.
What we're looking for
- Skills & competencies
- analytics architectdata architecturesemantic layerdata modelinganalytics engineeringsnowflakesqldata governancecincinnati ohrumpkefull-timeonsite
- Work arrangement
- Weekend coverage required
Benefits & perks
- Health, dental, and vision coverage
- matching 401(k)
- life insurance
- paid vacation.
Why this role
Enterprise-wide semantic-layer ownership; requires 10+ years of relevant experience and hands-on expertise with Snowflake or comparable cloud data warehouse architecture, semantic layers, and SQL.
About the employer
Rumpke of Ohio, Inc. is hiring for this role. Industry: Solid Waste Collection. Sector: 56.
Additional details
- Industry sector
- 56
- Industry
- Solid Waste Collection
- Occupation code
- 15-1243.00
You'll be redirected to the employer's application page.
Listing ID: f1e31224-24d5-49db-b9bf-8a5adb437b8d