Lincoln, RI · Remote
$93K - $123K/yr
Description Location: Remote (Preference for candidates located in New England) Engagement ... The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders ...
Lincoln, RI · Remote
$93K - $123K/yr
Description Location: Remote (Preference for candidates located in New England) Engagement ... The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders ...
NC · On-site +1
$106K - $144K/yr
... and Databricks -- collaborate with cross-functional teams, and help shape how we harness data to ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...
NC · On-site +1
$106K - $144K/yr
... and Databricks -- collaborate with cross-functional teams, and help shape how we harness data to ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...
Providence, RI · On-site +1
Provides solution architecture direction, including conceptual and logical designs, integration ... Experience with modern data and analytics technologies, including AWS, Databricks, Power BI ...
Providence, RI · On-site +1
Provides solution architecture direction, including conceptual and logical designs, integration ... Experience with modern data and analytics technologies, including AWS, Databricks, Power BI ...
| Aspect | Remote Databricks Architect | Remote Data Engineer |
|---|---|---|
| Primary Focus | Designing and implementing data solutions on Databricks platform | Building and maintaining data pipelines and infrastructure |
| Required Skills | Databricks, Spark, cloud platforms, architecture design | ETL, SQL, Python, cloud data tools |
| Certifications | Databricks certifications, cloud certifications | Cloud certifications, SQL, Python skills |
| Work Environment | Collaborates with data teams, architects, and stakeholders | Works 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.
$93K - $123K/yr
Other
Re-posted 17 hours ago
Description
Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire
Databricks & Microsoft Fabric
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.
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
