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Data Infrastructure Manager Jobs in Boston, MA (NOW HIRING)

Senior Data Infrastructure Engineer

Burlington, MA · On-site

$118.10K - $160.50K/yr

... and manage the company's data warehouse and overall data infrastructure strategy • Develop ... reliable systems for data collection, transformation, storage, and retrieval • Create scalable ...

Senior Data Infrastructure Engineer

Burlington, MA

$118.10K - $160.50K/yr

Architect and manage the company's data warehouse and overall data infrastructure strategy * Develop reliable systems for data collection, transformation, storage, and retrieval * Create scalable ...

Develop and implement data retention standards Develop and maintain overall backup and recovery ... and manage a strong infrastructure team that is capable of supporting the SOC's dynamic and ...

Sr. Data Infrastructure Engineer

Waltham, MA · On-site

$123.50K - $148.30K/yr

The Elevator Pitch Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning ... Design and manage data schema, data versioning and data factory updates * Architect systems that ...

The HR Infrastructure Manager plays a critical role in advancing the efficiency, scalability, and ... Translate workforce data into clear insights and recommendations related to talent, engagement ...

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Showing results 1-20

Data Infrastructure Manager information

See Boston, MA salary details

$87.5K

$167.3K

$215.1K

How much do data infrastructure manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data infrastructure manager in Boston, MA is $167,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $214,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Infrastructure Manager, and why are they important?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What are some common challenges faced by Data Infrastructure Managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.

What are Data Infrastructure Managers?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What are the most commonly searched types of Data Infrastructure jobs in Boston, MA? The most popular types of Data Infrastructure jobs in Boston, MA are:
What are popular job titles related to Data Infrastructure Manager jobs in Boston, MA? For Data Infrastructure Manager jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Manager jobs in Boston, MA look for? The top searched job categories for Data Infrastructure Manager jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Infrastructure Manager jobs? Cities near Boston, MA with the most Data Infrastructure Manager job openings:

$71.50 - $91.50/hr

Full-time

Posted 10 days ago


Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Infrastructure Architect for one of our client, Please share your resume with current location & full contact info
Role:Data Infrastructure Architect
Location:Boston, MA
Job description
Job Description:
We are seeking an experienced Cloud Infrastructure . The ideal candidate will have a strong background in cloud management, data warehousing, automation, and DevOps, as well as expertise in managing BI tools and infrastructure. This role requires a hands-on professional who can manage and optimize cloud resources, implement automation pipelines, and oversee the infrastructure supporting data-driven business intelligence initiatives.
Key Responsibilities:
Cloud Management:
  • Manage and optimize resources on Microsoft Azure and Google Cloud Platform (Google Cloud Platform).
  • Ensure high availability, performance, and security of cloud-based services and solutions.

Data Warehousing:
  • Design and manage data models in Snowflake and BigQuery to support business intelligence and analytics.
  • Implement best practices for data governance, security, and compliance within Snowflake and other cloud-based data platforms.

Automation and DevOps:
  • Lead the development and maintenance of Ansible scripts for configuration management and automation.
  • Implement and maintain CI/CD pipelines to ensure smooth and reliable software deployments across environments.

BI Tools Infrastructure:
  • Oversee the infrastructure supporting Tableau and Qlik, ensuring optimal performance for data visualization and analysis.
  • Integrate BI tools with data sources to enable seamless data flow and real-time analytics.

User and License Management:
  • Manage user access and licenses for BI tools, ensuring compliance with organizational policies and cost efficiency.
  • Provide training and support for users to enhance tool adoption and proficiency.

Infrastructure as Code (IaC):
  • Champion the use of Infrastructure as Code (IaC) principles to manage and provision infrastructure resources.
  • Ensure consistency, scalability, and repeatability in infrastructure deployments using IaC frameworks.

Server Administration:
  • Troubleshoot and resolve complex server and infrastructure issues promptly, ensuring minimal downtime.

Monitoring and Optimization:
  • Implement and manage monitoring solutions to ensure system health, performance, and availability.
  • Continuously optimize infrastructure for cost-efficiency and performance across cloud and on-premise systems.

Kubernetes Workload CI/CD:
  • Implement CI/CD pipelines specifically for Kubernetes workloads to automate deployment processes.
  • Ensure seamless integration, deployment, and scaling of containerized applications within Kubernetes environments.

Qualifications:
  • Proven experience managing cloud infrastructure, preferably in Azure and Google Cloud Platform environments.
  • Strong experience with Snowflake, BigQuery, and other data warehousing solutions.
  • Hands-on experience with Ansible, CI/CD pipelines, and Kubernetes.
  • Expertise in managing and optimizing BI tools like Tableau and Qlik.
  • Knowledge of Infrastructure as Code (IaC) principles and tools.
  • Strong troubleshooting and server administration skills.
  • Experience with monitoring and optimization tools for cloud and on-premise infrastructure.

Thanks & Regards
Sayeed
Rootshell Enterprise Technologies Inc.
sayeed@rootshellinc.com