Overview
Hybrid
Depends on Experience
Full Time
Job Details
No sponsorship available. No third-party/C2C candidates.
Data Architect - DBT [Hybrid Houston]
On-site Hybrid: Monday, Tuesday, Thursday
This is an exclusive, off-market opportunity. Our executive client searches are confidential. Apply now to learn more about this unique new position!
What’s in it for you:
- Competitive salary plus bonus potential
- Comprehensive benefits, including 90% employee medical coverage, dental, vision, life insurance, and short-term disability
- 401K program with company match
- Unlimited Paid Time Off (UPTO)
- Annual ticket budget for live sports and entertainment events
- Work with a fast-growing, highly respected company in the sports and entertainment industry
What you get to do:
- Design and maintain a semantic data layer, transforming raw data into structured, business-friendly datasets
- Develop scalable data models and optimize queries using SQL and dbt
- Build and manage data products for dashboards, reporting tools, and analytics applications
- Partner with data engineers to design robust data pipelines and improve external data quality
- Implement data validation frameworks to ensure accuracy and consistency across data sources
- Support analytics teams by providing well-defined, query-ready data products
- Establish data governance processes, schema management, and lineage documentation
What you need to succeed:
- 7+ years of experience in data architecture or engineering, with expertise in scalable data solutions
- Proficiency in SQL, dbt, and modern data warehouses (e.g., Snowflake)
- Strong experience designing semantic layers and reusable data models
- Knowledge of ETL tools, cloud platforms (AWS, Azure), and distributed systems
- Excellent problem-solving and analytical skills
- Strong communication skills, with the ability to explain complex data concepts to non-technical stakeholders
- A collaborative, innovative mindset with a focus on continuous improvement
Want to find out more about this job opportunity? Apply now!
#IND1
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