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# Data Analytics Engineer / Architect

- **Company:** Infopro Digital
- **Location:** Nashville, TN, United States
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Code Review, Information Systems, Data Infrastructure, Data Transformation, Data Vault Modeling, Database Testing, Dimensional Modeling, Python (Programming Language), Machine Learning, Meta-Data Management, Power BI, SQL Databases, YAML, Feature Engineering, Great Expectations (Foster Youth College-readiness and Support Program), Claude Code, Snowflake, Git, Data Layers, Information Technology, Data Lineage, Data Analytics, Sql Tuning, Databricks
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-analytics-engineer-architect-nashville-tn--64454211-e1bc-4b7a-a1da-255df7942b3b

## About the Role

Data Analysis, Data Analysis, B2B eCommerce, Information Technology & Information Systems, Automotive Manufacturing, Distribution Channel, Automotive Industry, Automotive Repair and Maintenance, Team Player, Cross-Functional, * Hands-on expertise in Snowflake and its data modeling capabilities for defining business entities, KPIs, and building semantic layers for BI and advanced analytics use cases. Additional experience in Databricks is a plus.

 * Advanced SQL expertise with a strong focus on transformations and query performance, combined with hands-on experience in dbt (models, tests, macros, and project structure), and a deep understanding of data modeling concepts such as dimensional modeling as well as Data Vault 2.0 and Anchor Modeling (or a strong willingness to learn both).
 * You collaborate effectively with business stakeholders and translate requirements into scalable data models, while maintaining high standards for data quality, harmonization, and single-source-of-truth principles within Git-based development workflows.
 * You communicate fluently in English with international colleagues and stakeholders in the US and Europe.
 * You would stand out with additional knowledge in Power BI (from a consumption perspective), experience with data testing frameworks (e.g., Great Expectations, DQX, Soda), familiarity with data cataloging and lineage tracking, as well as an understanding of feature engineering concepts for future ML use cases.

## Description

Infopro Digital, the B2B group specialising in information and technology, is currently looking for a Data Analytics Engineer / Architect on a permanent contract to strengthen the team at Business Unit Automotive in Nashville, TN.

Infopro Digital Automotive develops digital tools and software dedicated to the performance of decision-makers in the various sectors of the automotive aftermarket industry. Services benefit various automotive stakeholders, such as car manufacturers, aftermarket parts producers, distributors, and workshops. Further brands include ETAI, Eucon, HaynesPro, OATS, Inovaxo, Autronica, ETAI Ibérica, IsiCondal, Carooline, Haynes, DriveRightData, GiPA and Aurelis., As a Data Analytics Engineer / Architect (m/f/d), you will play a key role in shaping scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high-quality, well-structured data.

You'll be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.

The tasks awaiting you:

You will be responsible for :

 * Design, build, and optimize scalable data transformation pipelines with a strong focus on SQL performance and efficiency, while maintaining robust dbt projects including models, tests, macros, and structured project setups.
 * Develop and evolve data models using dimensional modeling principles (e.g., star schemas) as well as Data Vault 2.0 and Anchor Modeling approaches in a combined modeling environment.
 * Define, standardize, and maintain business entities, KPIs, and metric logic as reusable assets, and provide semantic layers consumable by BI tools and machine learning use cases.
 * Work closely with business stakeholders to translate requirements into scalable data models, ensuring alignment, data consistency, and a single-source-of-truth approach.
 * Leverage modern data platforms such as Snowflake and/or Databricks and contribute to collaborative, Git-based development workflows including code reviews and best practices.

Our data stack:

 * Snowflake, Databricks, Microsoft Azure
 * dbt, SQL, Python
 * Dimensional modeling, Data Vault 2.0, Anchor Modeling
 * Semantic layers, Power BI, product-facing APIs
 * Git, Azure DevOps, YAML, code reviews
 * Data testing frameworks, cataloging and lineage, Claude Code