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Data Platform Manager Jobs in Springfield, MO (NOW HIRING)

Brightli

Principal AI Engineer

Springfield, MO · On-site

We're looking for a creative, systems-thinking engineer with strong data platform expertise ... context management, and grounding techniques for LLM systems. • Knowledge of semantic data ...

O'Reilly Auto Parts

Platform Engineer I

Springfield, MO · On-site

Experience with technologies such as Ansible, Puppet, or Terraform to manage compute and network components. * Data Analysis: Ability to determine and analyze trends from platform data to assist in ...

Brightli

Principal AI Engineer

Springfield, MO

... the data platform with a focus on Snowflake integration. This hands-on role develops natural ... management, and grounding techniques for LLM systems Knowledge of semantic data modeling and data ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

... the data platform with a focus on Snowflake integration. This hands-on role develops natural ... context management, and grounding techniques for LLM systems • Knowledge of semantic data ...

CSpring

Quality Engineer

Springfield, MO · On-site

$65.50K - $84.60K/yr

... data platforms, applications, and integrations. As a Quality Engineer, you will be a key ... management, and automation framework integration Conduct functional, integration, regression ...

Photon

MarTech Product Manager

Springfield, MO

Translate marketing and business requirements into scalable, data-driven product features and ... Manage dependencies, risks, and trade-offs across multiple Adobe platform initiatives. Drive ...

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Data Platform Manager information

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$28.2K

$88.4K

$156.5K

How much do data platform manager jobs pay per year?

As of May 29, 2026, the average yearly pay for data platform manager in Springfield, MO is $88,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $114,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What are some common challenges faced by Data Platform Managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What is a Data Platform Manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.

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

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

What job categories do people searching Data Platform Manager jobs in Springfield, MO look for? The top searched job categories for Data Platform Manager jobs in Springfield, MO are:
Data Platform Manager jobs near you
Marketing Operations Analyst

Marketing Operations Analyst

FocusKPI

Springfield, MO

Full-time

Posted 6 days ago

Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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