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Data Infrastructure Manager Jobs in Baltimore, MD

Gormat

Senior Data Scientist

Annapolis Junction, MD

Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases ... Continuously optimize data infrastructure for performance, cost-efficiency, and scalability What ...

Gormat

Senior Data Scientist

Annapolis Junction, MD · On-site

$168K - $183K/yr

Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases ... Continuously optimize data infrastructure for performance, cost-efficiency, and scalability What ...

Gormat

Senior Data Scientist

Annapolis Junction, MD · On-site

$168K - $183K/yr

Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases ... Continuously optimize data infrastructure for performance, cost-efficiency, and scalability What ...

Endictus

Senior Data Scientist

Columbia, MD · On-site

$146K/yr

The successful candidate will design and optimize enterprise data pipelines, develop high-performance data parsers, manage complex data architectures, and improve the infrastructure that enables AI ...

Endictus Corp

Senior Data Scientist

Columbia, MD · On-site

$146K/yr

The successful candidate will design and optimize enterprise data pipelines, develop high-performance data parsers, manage complex data architectures, and improve the infrastructure that enables AI ...

Endictus

Senior Data Scientist

Columbia, MD

$146K/yr

The successful candidate will design and optimize enterprise data pipelines, develop high-performance data parsers, manage complex data architectures, and improve the infrastructure that enables AI ...

Markon

Senior Data Scientist

Annapolis Junction, MD

$150K - $210K/yr

Implement and manage various database systems, including graph, SQL, NoSQL, and vector database ... Continuously optimize data infrastructure for performance, cost-efficiency, and scalability ...

Markon

Senior Data Scientist

Annapolis Junction, MD · On-site

$150K - $210K/yr

Implement and manage various database systems, including graph, SQL, NoSQL, and vector database ... Continuously optimize data infrastructure for performance, cost-efficiency, and scalability

Markon

Senior Data Scientist

Annapolis Junction, MD · On-site

$150K - $210K/yr

Implement and manage various database systems, including graph, SQL, NoSQL, and vector database ... Continuously optimize data infrastructure for performance, cost-efficiency, and scalability ...

Cymertek

Data Warehouse Engineer

Annapolis Junction, MD · On-site

... managing large datasets, with a passion for driving data-driven decision-making. If you are excited about working with complex data systems and creating robust data infrastructure, we want to hear ...

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All JobsData Infrastructure JobsData Infrastructure Manager JobsData Infrastructure Manager Jobs in Baltimore, MD

Data Infrastructure Manager information

See Baltimore, MD salary details

$80K

$153K

$196.7K

How much do data infrastructure manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data infrastructure manager in Baltimore, MD is $153,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $195,700.00 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 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 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 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 popular job titles related to Data Infrastructure Manager jobs in Baltimore, MD? For Data Infrastructure Manager jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Manager jobs in Baltimore, MD look for? The top searched job categories for Data Infrastructure Manager jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Infrastructure Manager jobs? Cities near Baltimore, MD with the most Data Infrastructure Manager job openings:
Data Infrastructure Manager jobs near you

Software Engineer, Data Infrastructure & Acquisition - Baltimore, MD, USA

Speechify

Baltimore, MD

$113K - $136K/yr

Other

Posted 12 days ago

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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