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# Databricks Architect

- **Company:** Emergere Technologies
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Distributed Computing Environment, Apache Hive, Identity and Access Management, Python (Programming Language), Machine Learning, Cloud Services, SQL Databases, Data Streaming, Enterprise Data Management, Google Cloud, Feature Engineering, Delivery Pipeline, Apache Spark, Git, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Deployment Automation, Enterprise Integration, Apache Kafka, Data Management, Machine Learning Operations, Video Streaming, Terraform, Data Pipelines, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/0561eed0-6306-4bb5-afbf-1393ab35cf0e

## About the Role

* 10+ years of experience in data engineering, data architecture, or related fields.
 * Strong hands-on experience with Databricks architecture and Lakehouse solutions.
 * Expertise in Apache Spark, PySpark, Spark SQL, and Delta Lake.
 * Experience with Unity Catalog, access management, and data governance.
 * Strong knowledge of cloud data platforms, preferably Azure Databricks or AWS Databricks.
 * Experience designing complex ETL/ELT pipelines and enterprise data integration solutions.
 * Proficiency in Python and SQL.
 * Experience with data modeling, data warehousing, and distributed processing.
 * Knowledge of CI/CD pipelines, Git, and DevOps practices.
 * Strong problem-solving, communication, and stakeholder management skills., * Databricks certifications such as Databricks Certified Data Engineer Professional or Databricks Certified Data Engineer Associate.
 * Experience with streaming technologies such as Kafka and Structured Streaming.
 * Exposure to MLflow, feature engineering, and machine learning platform integration.
 * Experience with Terraform or other infrastructure-as-code tools.
 * Experience in enterprise-scale data platform migration and modernization

## Description

We are seeking an experienced Databricks Architect to design and implement scalable, secure, and high-performance data platforms using Databricks and cloud technologies. The ideal candidate will have strong expertise in data architecture, Lakehouse design, data engineering, and enterprise data platform modernization., * Design and implement end-to-end data architectures using Databricks and the Lakehouse platform.

 * Architect scalable data pipelines using Apache Spark, PySpark, and Spark SQL.
 * Implement and manage Delta Lake, Unity Catalog, and data governance frameworks.
 * Design and optimize ETL/ELT pipelines for batch and streaming data processing.
 * Integrate Databricks with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Establish data security, access controls, data quality, and compliance standards.
 * Optimize workloads for performance, scalability, and cost efficiency.
 * Implement CI/CD, automated testing, and deployment strategies for data engineering solutions.
 * Collaborate with data engineers, business stakeholders, and enterprise architecture teams.
 * Provide technical leadership, architectural guidance, and best practices for Databricks implementations.