Data Analytics Engineer & Architect — Scalable Data Pipelines

Eucon Automotive; Nashville (TN); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental & vision insurance (包括

401(k) plan plus match

Flexible working

Office gym membership

Paid vacation and holidays

Job summary

Infopro Digital Automotive in Nashville seeks a Data Analytics Engineer/Architect to shape scalable data models and pipelines for advanced analytics and trusted business insights. You will build robust dbt projects, define KPIs, and develop semantic layers consumable by BI tools and ML use cases.

Work with Snowflake, Databricks, and modern data platforms, collaborating with stakeholders across the US and Europe to ensure data quality, governance, and a single source of truth in Git-based

Qualifications

• Hands-on expertise with Snowflake data modeling and semantic layers for BI and analytics.
• Strong SQL with focus on transformations and performance; experience with dbt.
• Knowledge of dimensional modeling, Data Vault 2.0, and Anchor Modeling concepts.

Responsibilities

• Design and build scalable data transformation pipelines with SQL optimization and robust dbt projects.
• Develop data models (dimensional, Data Vault 2.0, Anchor Modeling) and reusable KPI logic.
• Collaborate with stakeholders to translate requirements into scalable data models and a single source of truth.
• Leverage Snowflake, Databricks, and Azure to deliver reliable analytics solutions and ML-ready data.

Skills

Snowflake

Databricks

SQL

dbt

Power BI

Git

Azure DevOps

YAML

Data modeling

Tools

Snowflake

Databricks

dbt

Power BI

SQL

Git

Azure DevOps

YAML

Job description

Infopro Digital Automotive in Nashville seeks a Data Analytics Engineer/Architect to shape scalable data models and pipelines for advanced analytics and trusted business insights. You will build robust dbt projects, define KPIs, and develop semantic layers consumable by BI tools and ML use cases.

Work with Snowflake, Databricks, and modern data platforms, collaborating with stakeholders across the US and Europe to ensure data quality, governance, and a single source of truth in Git-based