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Data Platform Manager Jobs (NOW HIRING)

OpenArc, LLC.

Data Platform Manager

Pittsburgh, PA

We are currently seeking a qualified Data Platform Manager to join our client's organization and contribute to their ongoing success. Job summar yThe Data Platform Manager is a senior technical ...

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Texascapitalbank

Data & Platform Manager

Houston, TX

The Product Manager sits between strategic intent and execution - owning end-to-end process design ... Champion data quality, platform governance, and scalability considerations in all product decisions

Citadel

Customer Data Platform Manager

Exton, PA

Job Overview We are seeking a hands-on, strategic Customer Data Platform (CDP) Manager to own the day-to-day administration, governance, and activation of our BlueConic CDP. This role will serve as ...

Citadel

Customer Data Platform Manager

Exton, PA · On-site

Job Overview We are seeking a hands-on, strategic Customer Data Platform (CDP) Manager to own the day-to-day administration, governance, and activation of our BlueConic CDP. This role will serve as ...

Texas Capital Bank

Data & Platform Manager

Houston, TX · On-site

The Product Manager sits between strategic intent and execution - owning end-to-end process design ... Champion data quality, platform governance, and scalability considerations in all product decisions

Wesco

Data platform Manager - IT

Houston, TX · Remote

We are seeking an experienced Data Platform Manager with 14+ years of progressive experience to lead, manage, and scale enterprise data platforms. The ideal candidate will have deep expertise in ...

Metrc LLC

Director of Data Platform

Lakeland, FL · On-site

Data Platform Management • Oversee the architecture, development, and maintenance of the data lake (Snowflake, Databricks) and BI tools (Domo, Tableau, and alternatives). • Potentially manage ...

Metrc, LLC

Director of Data Platform

Lakeland, FL · On-site

Data Platform Management · Oversee the architecture, development, and maintenance of the data lake (Snowflake, Databricks) and BI tools (Domo, Tableau, and alternatives). · Potentially manage real ...

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Data Platform Manager information

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$31K

$97.1K

$172K

How much do data platform manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data platform manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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 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 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 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.
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Data Platform Manager jobs near you
Data Platform Manager

Data Platform Manager

OpenArc, LLC.

Pittsburgh, PA

Other

Posted 17 hours ago

Job description

OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities. We are currently seeking a qualified Data Platform Manager to join our client’s organization and contribute to their ongoing success.



Job summar

yThe Data Platform Manager is a senior technical leader responsible for designing, building, and optimizing scalable enterprise data platforms on the Databricks Data Warehouse on the firm’s Azure Cloud platform. This role combines deep expertise in Databricks with broader knowledge of the Microsoft Azure ecosystem to drive and deliver high-performance data engineering initiatives, data analytics, and data science solutions.Responsibilities

  • :Lead and mentor a team of data engineers, conducting code reviews and ensuring development standards. Support troubleshooting and incident management for data-related issues in production
  • .Collaborate with business stakeholders, data scientists, and other team members to gather requirements and translate them into technical specifications
  • .Lead the design, development and deployment of scalable and high-performance data pipelines using Azure Databricks; ensuring the data integrity, availability, efficient extraction, transformation, and loading of data from various sources into the firm’s Azure Databricks Data Warehouse
  • .Collaborate with data scientists, analysts, and other engineering teams to deliver business-critical insights. Optimize pipeline performance, cost, and scalability in the Azure cloud environment
  • .Define best practices for data ingestion, processing, storage, and governance. Implement data quality checks and validation procedures to ensure the accuracy and integrity of data between various sources, including API’s, databases and streaming platform
  • sCollaborate with data scientists and analysts to operationalize and deploy machine learning models


.
Requirement

  • s:Hands-on data engineering or architecture, specifically focused on Azure Databricks. And Azure cloud technologie
  • s.Experience is preferred in managing a team of data engineers, data scientists and/or analyst
  • s.Certifications (Preferred): Microsoft Certified: Azure Data Engineer Associate (DP-203), Databricks Certified Data Engineer Professional, or Azure Solutions Architect Expe
  • rtDatabase Architecture: Proficiency in both Relational (SQL) and NoSQL (Document, Key-Value, Graph, Columnar) databases. Develop and maintain data models and schemas to support data analysis and reporting requiremen


ts
At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportuniti


es.
As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits pack


age.
OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by


law.

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