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Databricks Architect Jobs in Massachusetts (NOW HIRING)

Lead Databricks Platform Engineer

Boston, MA ยท On-site

$111K - $146K/yr

... architecture * Own and improve identity and access management practices (least privilege, group ... Databricks workspace and account management * Platform governance, access controls, and ...

Partner Solution Architect

Boston, MA ยท On-site

$140 - $200/hr

Ensure architectural governance, repeatability, and risk mitigation * Champion our platform ... GCP, Databricks, Guidewire-style industry ISVs. * Lead technical discovery, solution design ...

Posted today

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Azure Data Architect

Boston, MA ยท On-site

$69 - $90/hr

Working with data technologies such as Azure Databricks, Azure Data Factory, and OpenAI Qualifications Job Requirements: 5-10 years of experience in data architecture Five plus years of working with ...

Data Architect

Boston, MA ยท On-site

$69.25 - $89/hr

The Enterprise Architect will provide strategic guidance on investment technology selection ... Databricks * AWS Expert understanding of: * Data modeling * Data governance * Data quality ...

AWS Architect

Boston, MA ยท On-site

$70.50 - $92.50/hr

Databricks experience * AWS Solutions Architect Professional certification or equivalent * Proficiency with managed database services (Aurora, RDS, Redshift, DynamoDB), and cloud-based big data ...

Data Architect

Shrewsbury, MA ยท On-site

$90 - $120/hr

Design, provision, and maintain Databricks workspaces, clusters, jobs, and Unity Catalog using Terraform as infrastructure-as-code across multiple environments. * Develop and own reusable Terraform ...

Showing results 21-40

Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are the most commonly searched types of Databricks Architect jobs in Massachusetts? The most popular types of Databricks Architect jobs in Massachusetts are:
What cities in Massachusetts are hiring for Databricks Architect jobs? Cities in Massachusetts with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Massachusetts as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

$69.25 - $90.25/hr

Full-time

Re-posted 11 days ago


Job description

Job Overview:
In this role, you will be the Lead on designing, implementing, and managing data architecture and cloud-
based solutions with Microsoft Azure. Primary responsibilities include:
Designing data integration solutions
Developing an Azure Fabric data architecture
Developing and managing databases, data lakes, and other data storage solutions using Azure services
Working with data technologies such as Azure Databricks, Azure Data Factory, and OpenAI
Qualifications
Job Requirements:
5-10 years of experience in data architecture
Five plus years of working with Azure, particularly data services like Fabric, Azure SQL Database, Azure Data Lake Storage
Strong knowledge of data modeling and integration tools such as Azure Data Factory and CI/CD tools
Strong knowledge of SQL and experience with programming languages such as Python