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Data Storage Manager Jobs in Indiana (NOW HIRING)

Pwc

Data Engineer - Manager

Indianapolis, IN

... storage across batch and real-time data processing - Building, maintaining, and improving Data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

STEEL WAREHOUSE CO LLC

Data Engineer

South Bend, IN

$112.20K - $134.80K/yr

Manage and optimize data storage solutions (data warehouses, lakes, lakehouses) * Implement performance tuning and cost optimization strategies * Maintain documentation for data architecture ...

Steel Warehouse

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/yr

Manage and optimize data storage solutions (data warehouses, lakes, lakehouses) * Implement performance tuning and cost optimization strategies * Maintain documentation for data architecture ...

Steel Warehouse

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/yr

Manage and optimize data storage solutions (data warehouses, lakes, lakehouses) * Implement performance tuning and cost optimization strategies * Maintain documentation for data architecture ...

Barnes and Thornburg LLP

Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Optimize data storage and retrieval processes to improve performance and scalability, leveraging ... Expertise in end-to-end multi-layered data architectures (e.g., bronze/silver/gold), managing data ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP ...

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Data Storage Manager information

See Indiana salary details

$25.5K

$97.4K

$171.2K

How much do data storage manager jobs pay per year?

As of May 30, 2026, the average yearly pay for data storage manager in Indiana is $97,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $125,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Storage Manager, you need a strong understanding of storage architecture, data backup and recovery, and IT infrastructure management, often supported by a degree in computer science or related certifications. Familiarity with storage area networks (SAN), network-attached storage (NAS), cloud storage platforms, and tools like NetApp, EMC, or AWS is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These skills ensure reliable, secure, and efficient data storage solutions that support organizational operations and data integrity.

What are some common challenges faced by Data Storage Managers in maintaining system reliability and data security?

Data Storage Managers often face challenges such as balancing storage scalability with cost, ensuring data availability, and protecting sensitive information from cyber threats. They must regularly monitor system performance, implement backup and disaster recovery solutions, and stay up-to-date with evolving security protocols. Collaboration with IT, cybersecurity teams, and business stakeholders is crucial to ensure data policies align with organizational needs and compliance requirements.

What does a Data Storage Manager do?

A Data Storage Manager is responsible for overseeing the storage, organization, and security of an organization's digital data. They manage data storage systems such as servers, cloud solutions, and backup platforms to ensure data is accessible, reliable, and protected from loss or breaches. Their role often includes monitoring storage capacity, implementing data retention policies, coordinating disaster recovery efforts, and optimizing storage performance. Data Storage Managers work closely with IT teams to support business needs and ensure compliance with data regulations.

What is the difference between Data Storage Manager vs Data Analyst?

AspectData Storage ManagerData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CompTIA Storage+Bachelor's in Statistics, Data Science, or related; certifications like Microsoft Data Analyst
Work EnvironmentData centers, IT departments, enterprise storage facilitiesOffices, research labs, data analysis teams
Employer & Industry UsageIT firms, large corporations, cloud providersMarketing, finance, healthcare, consulting firms
Common Search & ComparisonFocuses on managing storage infrastructure and data securityFocuses on analyzing data to generate insights

The Data Storage Manager primarily oversees data storage infrastructure, ensuring data security and efficient management. In contrast, a Data Analyst interprets data to support decision-making. While both roles require technical knowledge, their focus areas differ significantly, making them distinct career paths within the data industry.

What are popular job titles related to Data Storage Manager jobs in Indiana? For Data Storage Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Storage Manager jobs in Indiana look for? The top searched job categories for Data Storage Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Storage Manager jobs? Cities in Indiana with the most Data Storage Manager job openings:
Data Storage Manager jobs near you
Infographic showing various Data Storage Manager job openings in Indiana as of May 2026, with employment types broken down into 4% As Needed, 52% Full Time, and 44% Part Time. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,398 per year, or $46.8 per hour.

Azure Data Architect

Purple Drive Technologies

Indianapolis, IN • On-site

$61 - $78.50/hr

Full-time

Posted 27 days ago

Job description

Overview:
Job Description:
About the job you're considering
We are seeking an accomplished Senior Data & AI Architect to lead the design and delivery of enterprise-scale data engineering and AI-driven solutions. This role requires deep expertise in Azure cloud architecture, Databricks, modern data ingestion frameworks, Building Canonical Data Models, and Medallion architecture, along with strong leadership and communication skills. The ideal candidate will define enterprise data standards, architect scalable platforms, and collaborate across global teams to deliver high-quality data products.
Your role:
  • Lead architecture and solution design for large-scale Data & AI platforms on Azure.
  • Design and implement data acquisition frameworks using CDC, batch, micro-batch, and real-time streaming patterns with Spark.
  • Architect and manage data storage solutions using ADLS Gen2, domain/sub-domain-based storage, and data product containers.
  • Build and govern Medallion (Bronze/Silver/Gold) data layers for enterprise analytics and AI use cases.
  • Provide hands-on technical leadership using Python, PySpark, and Databricks Notebooks.
  • Define and enforce data architecture standards, reference architectures, and design patterns.
  • Design and oversee data governance, security, and access control models, including Unity Catalog.
  • Integrate CI/CD pipelines, GitHub workflows, and automated deployment practices.
  • Leverage AI-based code assistance tools (e.g., GitHub Copilot, Databricks Genie) to improve developer productivity and code quality.
  • Collaborate effectively with onshore and offshore teams, mentoring engineers and architects.
  • Communicate technical solutions clearly to business stakeholders, architects, and leadership.

Skills and experience
  • 20+ years of experience delivering Data & AI-driven projects.
  • 10+ years of experience in solution architecture, primarily on cloud platforms.
  • 7+ years of hands-on experience in:
    • Data acquisition framework design
    • Spark-based ingestion (CDC, batch, streaming, micro-batch)
    • Handling structured and unstructured data
    • Azure Data Lake Storage (ADLS Gen2) and cloud storage architectures
    • Azure cloud platform and Databricks (including Unity Catalog)
  • 5+ years of hands-on experience with Python, PySpark, Databricks Notebooks, GitHub, and CI/CD pipelines.
  • 2+ years of experience leveraging AI-powered development tools.
  • Strong understanding of enterprise data governance, security, and access management.
  • Experience leading enterprise data modernization initiatives.
  • Exposure to AI/ML enablement through data platforms.
  • Prior experience in highly regulated or large-scale enterprise environments.

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