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# Mid Data Architect

- **Company:** Lean Staffing Solutions, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $41,600.0 - $43,680.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Architectural Patterns, Automation of Tests, Big Data, Cloud Computing, Cloud Database, Computer Programming, Continuous Delivery, Data as a Services, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, Software Debugging, Distributed Computing Environment, Performance Tuning, Data Processing, Google Cloud, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Agentic-AI, Pyspark, Data Management, Claude, Data Pipelines, Databricks
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7deaddb87123b225

## About the Role

* Proven experience working as a Data Architect.

 * Strong understanding of data architecture, data platforms, and modern data engineering practices.

 * Experience designing and leading the architecture of scalable, secure, and high-performance data platforms and data pipelines.

 * Experience with architectural patterns for data ingestion, transformation, processing, storage, and consumption.

 * Advanced Python programming skills.

 * Strong SQL development and optimization skills.

 * Strong experience with Apache Spark / PySpark.

 * Experience designing and implementing scalable ETL/ELT data pipelines.

 * Experience working with large datasets and distributed data processing.

 * Ability to troubleshoot and optimize data processing workloads.

Nice to have:

 * Databricks/cloud experience would be a plus.

 * Experience with Snowflake.

 * Experience with AI Agents and Code AI tools like Claude.

 * Experience with AWS data services and cloud environments.

 * Experience with Google Cloud Platform (GCP).

 * Experience with dbt and modern ELT/data transformation practices.

 * Familiarity with cloud-based data lakehouse architectures.

 * Experience implementing CI/CD and automated testing for data pipelines.

Soft Skills:

 * Strong problem-solving and debugging skills.

 * Ability to work independently and take ownership of projects.

 * Strong communication skills with the ability to articulate, diagram and document complex

engineering concepts.