> Markdown version of [/jobs/ext/1165140-it-technology-architect-etl-data-quality-etl-data-quality-all](https://www.wearedevelopers.com/jobs/ext/1165140-it-technology-architect-etl-data-quality-etl-data-quality-all). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# IT - Technology Architect | ETL & Data Quality | ETL & Data Quality - ALL

- **Company:** Cloudspace LLC
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0
- **Contract:** Permanent contract
- **Skills:** Unit Testing, Microsoft Azure, Big Data, Computer Programming, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Query Optimization, Azure Data Lake, SQL Databases, Data Streaming, Parquet, Data Storage Technologies, Azure Data Factory, Git, Modularization, Pytest, Data Lakes, Pyspark, Git Flow, Software Coding, Databricks
- **Published:** July 3, 2026
- **Apply:** https://www.careerjet.com/jobad/us00ee35496d2de6656c7c9431889091c2

## About the Role

Experience: 5 8 years in data engineering with at least 3+ years on Azure.
Azure Data Factory: Pipelines, data flows (mapping/wrangling), triggers, integration runtimes, parameterization, error handling & retries.
Azure Databricks: Databricks Notebooks, Jobs/Workflows, PySpark/Scala, Delta Lake, cluster configuration and optimization.
Programming: Advanced Python or Scala (at least one), strong coding standards, modularization, and unit testing (e.g., pytest).
SQL: Expert-level SQL (CTEs, window functions, query tuning), working with large datasets.
Data Storage & Formats: ADLS Gen2, Delta Lake, Parquet, partitioning, Z-Ordering, OPTIMIZE/VACUUM.
Ops & CI/CD: Git, branching strategies, CI/CD for ADF/Databricks; environment promotion; Infrastructure-as-Code exposure is a plus.



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