Data Lakehouse Architect (Azure Databricks)

Morton; Richmond (VA); On-site; USD 140,000 - 180,000; Full time

Job summary

Morton is seeking a hands-on Data Architect to design and implement a modern Data Lakehouse that supports enterprise reporting, BI, analytics, and AI initiatives. You will work closely with the Data Platform Lead and stakeholders to translate requirements into scalable, secure data solutions.

The role requires 5+ years in data architecture, strong SQL and data modeling skills, and hands-on Azure/Databricks experience.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field, or equivalent experience.
• 5+ years of experience in data architecture, data engineering, data warehousing, or enterprise data integration.
• Hands-on experience with Microsoft Azure and Databricks.
• Demonstrated experience designing and implementing enterprise data architectures, including modern Data Lakehouse solutions.
• Advanced SQL proficiency and strong understanding of relational and dimensional data modeling.
• Experience designing and building ETL/ELT pipelines, data transformations, and integrations.
• Experience integrating data from enterprise applications, APIs, databases, and multiple source systems.
• Understanding of data governance, security, access controls, data lineage, and data quality practices.
• Ability to translate business requirements into practical technical solutions and communicate effectively with stakeholders.

Responsibilities

• Design, implement, and maintain Data Lakehouse architecture using modern cloud technologies.
• Develop scalable data models, structures, pipelines, and integration patterns for reporting, analytics, and AI.
• Configure and maintain data integrations across enterprise applications, relational databases, APIs, and other data sources.
• Collaborate with the Data Platform Lead to translate business and reporting requirements into technical solutions.
• Develop and optimize ETL/ELT processes, data transformations, and data validation procedures.
• Establish best practices for data quality, security, governance, and platform reliability.
• Partner with BI developers, software engineers, and AI teams to ensure enterprise data is accessible and structured.
• Troubleshoot integration challenges, optimize platform performance, and document data flows.

Skills

SQL

Data modeling

ETL/ELT

Azure Databricks

Cloud data architecture

Stakeholder communication

Problem solving

Education

Bachelor's degree in Computer Science / Information Systems / Data Engineering

Tools

Azure Data Factory

Azure Data Lake Storage

Microsoft Fabric

Power BI

Job description

Morton is seeking a hands-on Data Architect to design and implement a modern Data Lakehouse that supports enterprise reporting, BI, analytics, and AI initiatives. You will work closely with the Data Platform Lead and stakeholders to translate requirements into scalable, secure data solutions.

The role requires 5+ years in data architecture, strong SQL and data modeling skills, and hands-on Azure/Databricks experience.