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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Databrciks Architect - **Company:** LTM Inc - **Location:** Raleigh, NC, United States - **Salary:** $110,000.0 - $150,000.0 - **Contract:** Internship / Graduate position - **Skills:** Data Analysis, Application Lifecycle Management, Microsoft Azure, Business Intelligence Development, Cloud Storage, Program Optimization, Continuous Integration, Data Architecture, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Dimensional Modeling, Apache Hive, Metadata, Meta-Data Management, Performance Tuning, Scrum Methodology, Power BI, Cloud Services, Data Processing, Apache Spark, Git, Data Lakes, Pyspark, Star Schema, Data Management, Artificial Intelligence Markup Language (AIML), Data Pipelines, Databricks - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ee2056a1e51decf7 ## About the Role Do you have experience in Writing skills?, Dimensional data modelling ETL data pipeline design Primary Skill Databricks Architecture Lakehouse Design Databricks Lakehouse architecture Bronze Silver Gold layers Delta Lake Data Engineering Pipelines ETL ELT architecture batch and near realtime data pipeline design Processing Analytics Apache Spark PySpark Spark SQL for largescale data processing Analytical Data Modelling Dimensional Modelling Star Snowflake schemas for reporting and analytics Data Warehousing Concepts Data quality consistency scalability and performance best practices Cloud Data Platforms Azure based data platforms with handson experience in ADLS or equivalent Platform Optimization Cloud storage performance tuning and cost optimization strategies BI Consumption Enablement Curated analytics ready datasets for BI tools Power BI Tableau or similar AIML Enablement Feature ready data preparation and pipeline support for AIML workloads on Databricks Metadata Architecture Standards Metadata management data cataloguing and architectural documentation Technical Leadership Architecture design and implementation oversight across data solutions Data governance security and compliance frameworks Databricks CICD pipelines and Git based development practices Secondary Nice to Have Skills NOT MANDATORY ML flow or similar model tracking and lifecycle management tools Familiarity with Agile Scrum delivery methodologies Domain experience in Insurance or Financial Services Soft Skills As this is an onsite role must have strong written and oral communication skills Insurance Domain Knowledge Strong ability to work with client stakeholders Requirement Review and Work Effort Estimation 3 Qualifying Questions Databricks Basics Have you used Databricks for data processing or ETL work Briefly explain the type of data you worked with and your role in the implementation Data Modelling Fundamentals What types of data models have you worked with for reporting or analytics eg fact dimension tables reporting tables aggregations Analytics BI Enablement How have you made data available for reporting or dashboards using tools like Power BI or similar platforms Skills Mandatory Skills : Data Architecture, Databricks, Dimensional Data Modeling Good to Have Skills : ETL Concepts Other details ## Related Videos - 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