AI-Ready Data Architect for Enterprise Platforms

84.51˚; Cincinnati (OH); Hybrid; USD 162,000 - 262,200; Full time

Benefits offered by this job

Health: Medical, Dental, Vision

401(k) with matching contribution

5 weeks of vacation

Paid leave for maternity, paternity, and family care

Job summary

84.51˚ in Cincinnati, Ohio, is looking for an experienced Data Architect to design data architectures for the Kroger Precision Marketing portfolio. The ideal candidate will guide technical decision-making and partner with teams to build a robust data strategy.

This role requires deep expertise in dimensional and relational data modeling, a strong understanding of cloud-native platforms, and proficiency in SQL and Python. The position offers a hybrid working schedule with ample benefits including health, retirement, and generous vacation time.

Qualifications

• 7+ years of experience in engineering organizations, with at least 4+ years in a data architecture or technical leadership role.
• Critical thinker with a strong emphasis on identifying, evaluating, and recommending solutions.

Responsibilities

• Design enterprise data architectures for KPM portfolio.
• Define and govern the semantic layer for data querying.
• Architect AI-ready data platforms for various workloads.
• Develop reference architectures and rapid prototypes.
• Evaluate and adopt emerging technologies in data architecture.

Skills

Data architecture principles

Cloud-native data platforms

SQL

Python

Data governance frameworks

Monitoring and observability patterns

Education

Bachelor's Degree in software development or related fields

Tools

Databricks

Snowflake

Job description

84.51˚ in Cincinnati, Ohio, is looking for an experienced Data Architect to design data architectures for the Kroger Precision Marketing portfolio. The ideal candidate will guide technical decision-making and partner with teams to build a robust data strategy.

This role requires deep expertise in dimensional and relational data modeling, a strong understanding of cloud-native platforms, and proficiency in SQL and Python. The position offers a hybrid working schedule with ample benefits including health, retirement, and generous vacation time.