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Data Infrastructure Manager Jobs in Riverview, FL

Suncoast Credit Union

Senior Data Engineer

Tampa, FL · Remote

$86K - $115K/yr

Builds systems and infrastructures that collect and process data according to company needs and ... Work with the manager to transform business requirements into appropriate schema and data model.

Cyiris

Data Engineer with Security Clearance

Tampa, FL · On-site

$108K - $129K/yr

... manage ETL/ELT workflows to efficiently ingest, transform, and deliver high-quality data across ... infrastructure. • Partner closely with data scientists, analysts, and engineers to translate ...

Suncoast Credit Union

Senior Data Engineer

Tampa, FL · On-site

$86K - $115K/yr

Builds systems and infrastructures that collect and process data according to company needs and ... Work with the manager to transform business requirements into appropriate schema and data model.

Pwc

Data Engineer - Senior Manager

Tampa, FL

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Maximus

Data Operations Technical Lead

Tampa, FL · On-site

... Manager, Data Science Technical Lead, and Government stakeholders to align data strategy with mission priorities. Data Engineering & Infrastructure - Design, build, and maintain scalable, resilient ...

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Showing results 21-40

All JobsData Infrastructure JobsData Infrastructure Manager JobsData Infrastructure Manager Jobs in Riverview, FL

Data Infrastructure Manager information

See Riverview, FL salary details

$71.8K

$137.4K

$176.6K

How much do data infrastructure manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data infrastructure manager in Riverview, FL is $137,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $175,700.00 per year, depending on experience, location, and employer.

What is a data infrastructure manager?

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 the key skills and qualifications needed to thrive as a data infrastructure manager?

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 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 popular job titles related to Data Infrastructure Manager jobs in Riverview, FL?

For Data Infrastructure Manager jobs in Riverview, FL, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure Manager jobs in Riverview, FL look for?

The top searched job categories for Data Infrastructure Manager jobs in Riverview, FL are:

What cities near Riverview, FL are hiring for Data Infrastructure Manager jobs?

Cities near Riverview, FL with the most Data Infrastructure Manager job openings:

Data Infrastructure Manager jobs near you

Director - Data Goveranance

Hiverecruiter

Saint Petersburg, FL • On-site

$110 - $150/hr

Other

Posted 29 days ago

Job description

Join one of the largest High-Net-Worth MGUs in the market as an Director – Data Goveranance!

Open to remote candidates, with travel to St. Petersburg, FL required at least once every two months.

Candidates located near our offices in New York, New Jersey, Schaumburg, or St. Petersburg are expected to work onsite regularly.

What You’ll Do:

Lead and operationalize enterprise-wide data governance across a distributed application ecosystem.

Establish and maintain data governance frameworks, policies, standards, and operating models.

Build and oversee reconciliation controls between systems, APIs, event streams, and data integrations.

Drive root-cause analysis and permanent remediation of data quality and reconciliation issues.

Partner with engineering, product, analytics, finance, and operations teams to ensure data accuracy and consistency.

Define and enforce data ownership, stewardship, and accountability across business domains.

Develop and maintain data dictionaries, business glossaries, lineage maps, and governance documentation.

Create data quality KPIs, dashboards, and executive-level scorecards to monitor governance performance.

Review and approve schema, API, and data-impacting changes before deployment.

Embed governance controls and standards into Agile/SDLC processes and delivery workflows.

Collaborate with warehouse and analytics teams to ensure application and warehouse data parity.

Lead governance initiatives with internal teams and external implementation partners to improve delivery quality and reduce recurring defects.

What We’re Looking For:

Bachelor’s degree in Information Systems, Computer Science, Data Management, or a related field.

5+ years of hands-on data governance experience, including work within distributed or microservices environments.

Proven experience building scalable data governance and reconciliation programs from the ground up.

Strong SQL expertise with the ability to analyze transactional and warehouse data independently.

Experience with Python or similar scripting languages for automation, profiling, and reconciliation.

Solid understanding of REST APIs, event-driven architecture, integrations, and data contracts.

Experience with enterprise data governance, catalog, or data quality tools.

Knowledge of cloud-based data platforms, modern data infrastructure, and warehouse environments.

Familiarity with master data management, reference data, and identity resolution practices.

Understanding of data privacy, compliance, and regulatory standards such as SOC 2.

Strong analytical, problem-solving, and root-cause investigation skills.

Ability to influence cross-functional teams and hold partners accountable to delivery standards.

Excellent communication skills with the ability to translate technical issues for business stakeholders and executives.

Self-starter mentality with the ability to thrive in ambiguous, fast-paced environments.

Experience within financial services, insurance, or other regulated industries is a plus.

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