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# Databricks Architect

- **Company:** Enexus Global
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Dataspaces, Data Systems, Distributed Systems, Standard Sql, Data Streaming, Google Cloud, Cloud Platform System, Apache Spark, Data Lakes, Pyspark, Apache Kafka, Data Management, Machine Learning Operations, Stream Processing, Data Pipelines, Databricks
- **Published:** June 29, 2026
- **Apply:** https://www.dice.com/job-detail/1281b5b1-4400-410b-ac43-7d14e4217d5b

## About the Role

* 12+ years of experience in Data Engineering / Data Architecture
 * Strong expertise in Databricks, PySpark, and Spark ecosystem
 * Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud Platform)
 * Experience with data orchestration tools (Airflow, ADF, etc.)
 * Solid understanding of data modeling, ETL/ELT, and distributed systems
 * Experience with Delta Lake and Unity Catalog is a plus
 * Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets)
 * Excellent problem-solving and stakeholder management skills, * Databricks certifications
 * Experience with real-time data processing (Kafka, streaming)
 * Exposure to AI/ML pipelines and MLOps
 * Knowledge of regulatory and compliance frameworks in Financial Services

## Description

We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems., * Architect and implement end-to-end data solutions using Databricks Lakehouse Platform

 * Design and develop scalable data pipelines using PySpark, Spark, and SQL
 * Lead cloud data platform implementations on AWS/Azure/Google Cloud Platform
 * Drive modernization of legacy data systems to cloud-native architectures
 * Implement Medallion Architecture (Bronze, Silver, Gold layers)
 * Ensure data governance, security, and compliance (especially for Financial Services)
 * Collaborate with business stakeholders, data scientists, and engineering teams
 * Optimize performance, cost, and reliability of data pipelines
 * Mentor and guide data engineering teams and provide architectural leadership


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