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# Data Technical Architect

- **Company:** Rysun Labs INC
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Data Processing, Snowflake, Apache Spark, Data Lakes, Pyspark, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Data Lakehouse, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** September 16, 2026
- **Apply:** https://www.wayup.com/i-j-Data-Technical-Architect-Rysun-Labs-Inc-200366615021649/

## About the Role

We are looking for an experienced Data Technical Architect to design and implement scalable data platforms, modern data architectures, and cloud-based analytics solutions. The ideal candidate should have strong expertise in Databricks, Data Engineering, Big Data technologies, and cloud platforms., Bachelor's or Master's degree in Computer Science, IT, Data Science, or related field.
Preferred Profile
A hands-on Data Architect with strong Databricks expertise, capable of leading enterprise data transformation initiatives, driving architecture decisions, and mentoring engineering teams while working closely with clients and stakeholders.

## Description

Design and implement enterprise-scale data architectures and Lakehouse solutions.
Lead Databricks-based data engineering initiatives.
Architect and optimize ETL/ELT pipelines for batch and real-time processing.
Collaborate with business stakeholders and technical teams to define data strategies and solutions.
Ensure data governance, security, quality, and performance best practices.
Mentor data engineering teams and provide architectural guidance.
Required Skills
Databricks (Delta Lake, Unity Catalog, Workflows, Databricks SQL)
Apache Spark / PySpark
Python & SQL
Data Warehousing and Data Modeling
ETL/ELT Architecture
Cloud Platform: Azure / AWS / GCP
Real-time and Batch Data Processing
Data Lakehouse Architecture
Preferred Skills
Snowflake, Synapse, Kafka
CI/CD and DevOps practices
Exposure to AI/ML and MLOps platforms
Client-facing architecture and consulting experience