2

Remote Databricks Architect Jobs in Rhode Island

Provides solution architecture direction, including conceptual and logical designs, integration ... Experience with modern data and analytics technologies, including AWS, Databricks, Power BI ...

Senior Data Software Engineer

NC · On-site +1

$123K - $162K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Build dashboards and reports in Tableau and Databricks to expose key data points and trends to ...

Data Software Engineer

NC · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Build dashboards and reports in Tableau and Databricks to expose key data points and trends to ...

Remote Databricks Architect information

Can you work remotely as an architect?

Remote work is possible for a Databricks Architect, especially with the increasing adoption of flexible work arrangements in the tech industry. Many organizations allow architects to perform their duties remotely, utilizing cloud platforms, collaboration tools, and virtual communication. However, some roles may require on-site presence for meetings, training, or specific project needs.

Does Databricks allow remote work?

Remote Databricks Architects can often work remotely, depending on the company's policies and project requirements. Many organizations in data engineering and analytics support remote work, especially for roles involving cloud platforms and tools like Databricks, which facilitate collaboration and remote access. Candidates should verify specific employer policies and ensure they have the necessary technical setup for remote work environments.

What is the difference between Remote Databricks Architect vs Remote Data Engineer?

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

Will AI replace Solution Architect?

AI is unlikely to fully replace Solution Architects, as their role involves complex problem-solving, designing scalable systems, and understanding business needs that require human judgment. Instead, AI tools can augment their work by automating routine tasks and providing data-driven insights, allowing Solution Architects to focus on strategic planning and innovative solutions. Success in this role often depends on technical expertise, communication skills, and experience with cloud platforms like Databricks.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in cloud platforms and big data tools may command higher salaries.
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Lead Data Engineer - Databricks & Microsoft Fabric

Lighthouse MTG LLC

Lincoln, RI • Remote

$93K - $123K/yr

Other

Posted 18 days ago


Job description

Description

 Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire 


Lead Data Engineer

Databricks & Microsoft Fabric


Overview

Spyglass MTG is seeking a highly skilled Lead Data Engineer with strong expertise in Databricks and Microsoft Fabric to help design, build, and scale modern data platforms in Azure.

This role is both strategic and hands-on. The ideal candidate will lead the development of enterprise data solutions while actively building scalable pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.

The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that enable organizations to leverage their data more effectively.


Responsibilities

Design and implement modern data platforms using Databricks and Microsoft Fabric
Build and maintain scalable data pipelines and ingestion frameworks
Develop and optimize Spark and PySpark workloads within Databricks
Implement lakehouse and data warehouse architectures
Design and manage data models supporting analytics and reporting
Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
Implement data quality, governance, and security best practices
Provide technical leadership and mentorship to data engineering team members
Optimize performance, reliability, and scalability of data platforms


Requirements


7+ years of experience in data engineering or data platform development 

Strong hands-on experience with Databricks and Apache Spark  

Experience implementing Microsoft Fabric data solutions  

Proficiency in Python and PySpark  

Experience working with Azure data services and cloud-based data platforms  

Experience designing modern lakehouse or data warehouse architectures  

Strong understanding of data pipeline design, ETL/ELT processes, and data modeling


Preferred

Experience supporting AI or machine learning workloads  

Experience working in enterprise data environments  

Familiarity with CI/CD and data platform automation