ZipRecruiter

Log In

1

Master Data Jobs in Riverview, FL (NOW HIRING)

Philip Morris International

Data Engineer - MDM

Tampa, FL · On-site

$88K - $110K/yr

Design and Model master data entities in collaboration with data modelers, data governance leads, and business stakeholders. * Build, test, deploy, and evolve the capabilities for data curation and ...

Deloitte

Data Management Lead

Tampa, FL · Hybrid

Work you'll do/Responsibilities As a Data Management Lead, you will oversee enterprise data management governance/quality, master data management (MDM), and cataloging standards. In this role, you ...

Cricket Wireless LLC.

Data Architect

Tampa, FL · On-site

$167 - $195/hr

Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field. * 5+ years of experience as a Data Architect, Data Engineer, or related role, ideally within ...

Manatt Phelps & Phillips LLP

Data Architect

Tampa, FL · On-site

$167K - $195K/yr

Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field. * 5+ years of experience as a Data Architect, Data Engineer, or related role, ideally within ...

Clarkston Consulting

Data Architect

Tampa, FL · On-site +1

$60.25 - $77.50/hr

Experience with data architecture, specifically in support of data warehousing, business intelligence, master data management, and reference data management * Familiarity with delivering Data as a ...

campus4tech

Informatica MDM ARCHITECT/ SME

Tampa, FL · On-site +1

Strong understanding of Data Integration, Data Quality, Data Architecture and Master Data Management, Project Life Cycle phases, best practices, and processes * Rich experience (3-5 years) in Data ...

Pwc

Data Strategy-Manager

Tampa, FL

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Pwc

Data Governance- Manager

Tampa, FL

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

TECO

Data Analytics Architect

Tampa, FL · On-site

... master data management. PRIMARY DUTIES AND RESPONSIBILITIES 1. Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP ...

TECO

Data Analytics Architect

Tampa, FL · On-site

... master data management. PRIMARY DUTIES AND RESPONSIBILITIES 1. Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP ...

next page

Showing results 1-20

All JobsMaster Data JobsMaster Data Jobs in Riverview, FL

Master Data information

See Riverview, FL salary details

$17

$39

$68

How much do master data jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for master data in Riverview, FL is $39.56, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $49.33 per hour, depending on experience, location, and employer.

What is a master data professional?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in master data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

What are the key skills and qualifications needed to thrive as a master data specialist, and why are they important?

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

Is master data a good career?

Master Data roles involve managing and maintaining core business information such as customer, product, and supplier data. These positions require attention to detail, data management skills, and familiarity with tools like ERP systems, making them stable and in-demand within data management and enterprise operations. Career growth can lead to roles in data governance, analytics, or data management leadership.

What are popular job titles related to Master Data jobs in Riverview, FL?

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

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

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

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

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

Master Data jobs near you
Infographic showing various Master Data job openings in Riverview, FL as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 33% In-person, and 67% Hybrid job distribution, with an average salary of $82,276 per year, or $39.6 per hour.

Principal Data Engineer

Raymond James Financial Inc

Saint Petersburg, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Job Description Summary
We are seeking a highly experienced Principal Data Engineer to provide technical leadership for mission-critical Security/Product Master Data Platforms and other enterprise-scale data platforms that support the entire enterprise. This role requires deep data engineering expertise, strong database and platform engineering skills, hands-on experience with Oracle, Redshift, Python, Spark, Glue, AWS EMR, and Iceberg, and proficiency using AI to improve engineering productivity, solution quality, and delivery velocity.
The candidate will be expected to lead modernization of enterprise data capabilities toward cloud data lakehouse and medallion architecture while maintaining operational stability, resiliency, performance, security, and enterprise availability.
As a Principal Engineer, you will act as the technical authority for enterprise-wide platforms that manage and distribute critical security, product, and other high-value enterprise data used across business, operations, analytics, regulatory, and downstream application capabilities. The ideal candidate combines strong functional understanding of master data and enterprise data domains with hands-on engineering depth, AI-enabled engineering practices, and experience transitioning legacy or operational data platforms toward a modern cloud data lakehouse architecture using medallion patterns.
Job Description
This position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location.
Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.
Responsibilities
Technical Strategy & Architecture
  • Master Data Platforms and other enterprise-scale data platforms, ensuring scalability, reliability, availability, performance, and enterprise-wide reuse.
  • Establish engineering standards, data architecture patterns, integration patterns
  • Define and drive the target-state architecture for enterprise Security/Product , and design principles for mission-critical master data and enterprise-scale data platforms.
  • Lead system design and modernization roadmaps for high-impact initiatives across security, product, master data, and other enterprise-scale data domains.

Engineering Leadership
  • Provide technical leadership across multiple teams, not limited to a single project or squad.
  • Act as a trusted advisor to leadership on technology strategy, trade-offs, and long-term platform evolution.
  • Drive alignment across engineering, data, and platform teams to ensure consistency and reusability.

Solution Design & Development
  • Lead the design and development of enterprise-grade Python applications and distributed systems.
  • Oversee architecture and implementation of data pipelines, APIs, and large-scale data processing frameworks.
  • Ensure solutions are designed with high availability, fault tolerance, and observability.

Data & Database Engineering
  • Lead end-to-end engineering ownership for mission-critical database and master data platforms, including development, support, maintenance, lifecycle management, performance, reliability, and operational excellence.
  • Apply advanced database optimization strategies across Oracle and related platforms, including performance tuning, partitioning, query optimization, resiliency, recoverability, and scalability.
  • Ensure efficient data modeling, storage, and access patterns across platforms.
  • Apply hands-on expertise in Oracle/ODI, Python, Spark, AWS EMR, Redshift, S3, and Iceberg to design, build, and modernize enterprise data platforms.
  • Lead transition of legacy and operational master data capabilities toward modern cloud data lakehouse architecture using S3, Iceberg, Redshift, and medallion patterns for ingestion, transformation, curation, quality, and governed consumption.

Data Understanding
  • Strong functional and data understanding of Security/Product Master Data Platforms is required, including how enterprise master data is modeled, governed, integrated, consumed, and supported.
  • Must have experience across core enterprise data domains, including Clients, Accounts, Assets and Liabilities, Trades and Activities, Security/Product Master, with particular depth in Security/Product Master Data.
  • Must have hands-on experience working with master data platforms supporting these domains, including business meaning, reference data, data lineage, data quality, integration, stewardship, downstream consumption, and operational support patterns.
  • Ability to partner with business, architecture, governance, operations, and application teams to translate functional data needs into durable platform capabilities and reusable data products.

CI/CD & Platform Engineering
  • Architect and standardize CI/CD pipelines using Jenkins and modern DevOps practices.
  • Drive adoption of automation-first principles across build, test, and deployment workflows.
  • Promote DevSecOps best practices and governance controls.

Cloud & Containerization
  • Lead cloud modernization of enterprise master data capabilities, including transition to cloud data lakehouse architecture and medallion-based bronze, silver, and gold data layers.
  • Influence AWS-based data architecture decisions, including appropriate use of Spark, AWS EMR, cloud storage, orchestration, data quality controls, and scalable consumption patterns.
  • Drive modernization while preserving operational continuity, enterprise availability, data trust, cost discipline, security, and compliance expectations.

Performance, Reliability & Scalability
  • Establish frameworks for performance engineering, observability, monitoring, SLAs, SLOs, SLIs, and operational readiness for enterprise-wide master data platforms.
  • Lead root cause analysis of critical production issues and define systemic improvements across platform reliability, data quality, resiliency, recovery, and downstream dependency management.
  • Ensure the platform meets enterprise-grade resiliency, recovery, security, and availability requirements for mission-critical data distribution.

AI-Enabled Engineering
  • Demonstrate proficiency in using AI tools and AI-assisted engineering practices to improve individual and team efficiency, productivity, solution quality, and delivery velocity.
  • Use AI responsibly to accelerate analysis, design, coding, testing, documentation, troubleshooting, and operational support while maintaining appropriate engineering judgment, security, and governance standards.
  • Identify opportunities to apply AI to develop better technical solutions, reduce manual effort, improve platform reliability, and increase the speed of modernization initiatives.

Mentorship & Talent Development
  • Mentor senior engineers and leads, raising the overall technical bar of the organization.
  • Drive knowledge sharing, standards adoption, and engineering excellence initiatives.
  • Serve as a role model for engineering best practices and problem-solving.

Technical Skills
  • Expert-level proficiency in data engineering and large-scale data processing using Python, Oracle/ODI, Spark, AWS EMR, Redshift, Iceberg, distributed systems design, and modern platform engineering patterns.
  • Deep expertise in CI/CD using Jenkins, Kubernetes, and containerization.
  • Strong experience designing, building, and operating data pipelines, APIs, batch and near-real-time data processing capabilities, data quality controls, lineage, and enterprise consumption patterns.
  • Experience modernizing legacy or operational platforms into cloud data lakehouse architecture using medallion patterns, including bronze, silver, and gold layers, curated data products, and governed consumption.
  • Experience developing, supporting, maintaining, and modernizing mission-critical database and master data platforms in production environments.
  • Strong functional understanding of enterprise master data domains, especially Security/Product Master, with exposure to Clients, Accounts, Assets and Liabilities, Trades, and Activities.
  • Proficiency using AI tools and AI-assisted engineering practices to improve productivity, accelerate delivery, enhance solution design, improve documentation, and increase engineering velocity.
  • Advanced knowledge of database performance optimization, data modeling, platform reliability, and production support for mission-critical data platforms.
  • Strong understanding of cloud platforms, including AWS, Azure, and Google Cloud Platform, and modern architecture patterns.
  • Experience in enterprise architecture, system integration, and platform engineering.

Leadership & Behavioral Competencies
  • Strategic thinker with ability to connect technical decisions to business outcomes
  • Strong influence skills across teams without direct authority
  • Exceptional problem-solving and system-level thinking
  • Excellent communication skills, including ability to engage with senior leadership and stakeholders

Required Qualifications:
  • 15+ years of progressive engineering experience, including technical leadership for enterprise-scale data, database, or platform engineering capabilities.
  • Strong hands-on data engineering experience with Python, Oracle/ODI, Spark, AWS EMR, Redshift, Iceberg, and large-scale data processing patterns.
  • Experience developing, supporting, maintaining, and modernizing mission-critical database, master data, or enterprise-scale data platforms in production environments.
  • Strong functional and data understanding of Security/Product Master Data Platforms, with working knowledge of enterprise data domains such as Clients, Accounts, Assets and Liabilities, Trades, and Activities.
  • Experience with cloud data lakehouse architecture, medallion patterns, data quality controls, lineage, governed consumption, and reusable data product patterns.
  • Proficiency using AI tools and AI-assisted engineering practices to improve productivity, solution quality, documentation, troubleshooting, and delivery velocity.
  • Strong communication, technical influence, and cross-functional leadership skills with the ability to engage engineering, architecture, governance, operations, product, and business stakeholders.
  • Experience in Agile/Scrum at scale, such as SAFe or similar frameworks.
  • Experience in financial services, wealth management, capital markets, Security/Product Master Data, or enterprise reference data platforms.
  • Experience leading modernization of enterprise master data or reference data platforms from legacy technologies toward cloud data lakehouse, medallion architecture, or governed data product models.
  • Experience with enterprise data governance, data quality, lineage, stewardship, metadata management, and enterprise consumption patterns at scale.
  • Experience applying AI-enabled engineering practices to improve development efficiency, operational productivity, solution quality, and delivery velocity.

Education
Bachelor's: Business Administration, Bachelor's: Computer and Information Science (Required), Bachelor's: Computer Engineering
Work Experience
General Experience - More than 15 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
#LI-SA1

Apply