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Databricks Admin Jobs in Massachusetts (NOW HIRING)

Lead Databricks Platform Engineer

Boston, MA

$111K - $146K/yr

We're hiring a Lead Databricks Administrator to own and evolve our Databricks platform across cloud environments. This is a high-impact role focused on driving platform standards, strengthening ...

BI Data Engineer II

Boston, MA · On-site

$124K - $149K/yr

Maintain, administer, and support the evolution of our Databricks platform as a shared responsibility with other team members. * Support CI/CD and automated deployment practices, including Azure ...

BI Data Engineer II

Boston, MA

$124K - $149K/yr

Maintain, administer, and support the evolution of our Databricks platform as a shared responsibility with other team members. * Support CI/CD and automated deployment practices, including Azure ...

BI Data Engineer II

Boston, MA · On-site

$124K - $149K/yr

Maintain, administer, and support the evolution of our Databricks platform as a shared responsibility with other team members. * Support CI/CD and automated deployment practices, including Azure ...

... Databricks and Cribl. Will also be a mentor to junior staff members, both on-shore and off-shore ... Splunk Certified Admin, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence ...

... Databricks and Cribl. Will also be a mentor to junior staff members, both on-shore and off-shore ... Splunk Certified Admin, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence ...

Data Solution Engineer

Boston, MA · On-site

$124K - $149K/yr

Support and administer modern cloud data platforms including Databricks, Snowflake, Sigma Computing, and Dash Enterprise * Partner directly with business teams to identify data opportunities, gather ...

GCS, Data Analyst

Quincy, MA · On-site

$90K - $157K/yr

Design and implement etl workflows and presentations using Databricks and PowerBI * Ensure thorough ... It is unlawful in Massachusetts to require or administer a lie detector test as a condition of ...

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Databricks Admin information

What are Databricks Admins?

Databricks Admins are IT professionals responsible for managing and configuring the Databricks platform within an organization. They handle user access, workspace setup, cluster management, security policies, and integration with cloud services. Their role is crucial in ensuring that the Databricks environment runs smoothly, securely, and efficiently for data teams. Admins also monitor resource usage, troubleshoot issues, and implement best practices for data processing and analytics workflows.

What are some common challenges a Databricks Admin faces when managing large-scale data pipelines?

As a Databricks Admin, one of the primary challenges is ensuring optimal cluster performance and resource utilization, especially when handling large and complex data pipelines. Admins must monitor job execution, manage user access, and troubleshoot issues related to data connectivity, cluster failures, or slow-running jobs. Additionally, maintaining data security and compliance across collaborative teams can be demanding, as it requires fine-tuning permissions and enforcing organizational policies. Strong communication with data engineers and analysts is essential to proactively address problems and optimize workflows.

What are the key skills and qualifications needed to thrive as a Databricks Admin, and why are they important?

To thrive as a Databricks Admin, you need a solid background in data engineering, cloud computing, and distributed systems, often supported by a degree in computer science or related field. Proficiency in Databricks platform management, Spark, Azure or AWS services, and relevant certifications like Databricks Certified Associate Developer are typically required. Strong problem-solving, communication, and collaboration skills help in effectively managing resources and supporting data teams. These skills ensure optimal platform performance, secure data workflows, and support for analytics initiatives across the organization.

What is the difference between Databricks Admin vs Data Engineer?

AspectDatabricks AdminData Engineer
CredentialsDatabricks certifications, cloud platform knowledgeProgramming skills, cloud certifications, data modeling
Work EnvironmentCloud-based Databricks platform, administrative tasksData pipelines, ETL processes, coding environments
Employer & IndustryTech companies, data-driven organizations using DatabricksOrganizations building data infrastructure, analytics teams
Search & Comparison IntentUnderstanding administrative roles in DatabricksData pipeline development and data architecture

While both roles work within data platforms, a Databricks Admin primarily manages and maintains the Databricks environment, focusing on platform configuration and user access. In contrast, a Data Engineer builds and maintains data pipelines, often utilizing Databricks for data processing. Both roles require cloud platform knowledge, but their core responsibilities differ significantly.

What are popular job titles related to Databricks Admin jobs in Massachusetts? For Databricks Admin jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Databricks Admin jobs in Massachusetts look for? The top searched job categories for Databricks Admin jobs in Massachusetts are:
What cities in Massachusetts are hiring for Databricks Admin jobs? Cities in Massachusetts with the most Databricks Admin job openings:
Infographic showing various Databricks Admin job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Databricks Administrator / DBA

Milestone Technologies, Inc.

Needham, MA • On-site

$65 - $70.50/hr

Other

Re-posted yesterday


Job description

Databricks Administrator / DBA

Hybrid in Troy NY or Needham MA

18 Months Contract

Summary

The Senior Data Platform Engineer / DBA manages our database and data platform fleet, maintaining secure, optimized, and highly available databases, data warehouses, and lakehouses. Our stack is evolving - Redshift remains a core platform, and we are actively expanding into Databricks and open table format (Apache Iceberg on S3)

This role works closely with engineering and analytics teams to design, implement, and maintain these systems.

Responsibilities

  • Operate Redshift clusters, Databricks workspaces, RDS/Aurora PostgreSQL instances, and supporting AWS infrastructure
  • Perform user/security tasks across platforms: Redshift user/group management, Databricks Unity Catalog access controls, IAM Roles/Policies, RDS parameter and access management
  • Design and maintain open table format data lakes using Apache Iceberg on S3, including compaction, snapshot management, partition strategies, and schema evolution
  • Profile production workloads and develop strategies to run optimized clusters and workspaces with scale and efficiency
  • Provide architecture guidance and support to technical leads; help develop code and SQL for data assets, identify performance tuning opportunities, and work with developers to improve production systems
  • Contribute to and maintain automation scripts and internal tooling with production-quality code standards (unit tests, peer review, documentation, Git-based workflows)
  • Develop monitoring and recovery automation to identify and resolve issues to meet our high SLA
  • Research new technologies and develop proofs of concept; propose technical improvements and new capabilities

Requirements

  • 3+ years of experience with AWS data services: Redshift, RDS/Aurora PostgreSQL, S3, EC2, Athena, Glue, Lake Formation
  • 2+ years of experience with Databricks: workspace administration, Unity Catalog, cluster management, Spark SQL, Delta Live Tables or similar
  • 2+ years of experience with PostgreSQL or Aurora PostgreSQL: query tuning, replication concepts, pg_stat views, parameter groups
  • 2+ years of experience with AWS Security: IAM (Users, Groups, Roles, Policies, Instance Profiles), Redshift/RDS security, S3 bucket policies

Preferred

  • PySpark for data pipeline development
  • AWS Glue with Iceberg or Delta Lake integration
  • Snowflake administration
  • Terraform or AWS CDK for infrastructure as code
  • DynamoDB experience
  • Feature Store

Technology

  • Experience with Apache Iceberg on S3: partition management, compaction, snapshot management, schema evolution
  • Proficiency in Python for automation and shared tooling: object-oriented design, writing maintainable and testable code, participating in code review, and contributing to a shared Git-based codebase
  • Experience automating database and platform operations using Python, Jenkins, Airflow, Datadog and Git

Soft Skills

  • Ability to read, understand, debug, and extend complex Python codebases; comfort navigating large repositories with multiple modules and abstractions
  • Strong analytical and critical thinking skills
  • Ability to lead projects, prioritize, and multitask
  • Deadline and detail-oriented
  • Part of on-call rotation

Education

N/A

The estimated pay range for this position is USD $65.00/hr - USD $70.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.