Data Platform information
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$106.7K is the 25th percentile. Wages below this are outliers.
$93K - $110K
10% of jobs
The median wage is $135K / yr.
$127K - $144K
17% of jobs
$160.7K is the 75th percentile. Wages above this are outliers.
$144K - $161K
16% of jobs
How much do data platform jobs pay per year?
As of Aug 19, 2026, the average yearly pay for data platform in the United States is $133,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $165,500.00 per year, depending on experience, location, and employer.
A Data Platform is a collection of technologies and tools that enable organizations to collect, store, process, manage, and analyze large volumes of data from various sources. It typically includes databases, data warehouses, data lakes, and tools for data integration, analytics, and visualization. Data platforms help businesses make data-driven decisions by providing a unified and scalable environment for handling all their data needs.
To thrive as a Data Platform Engineer, you need strong expertise in database management, data modeling, and proficiency in programming languages such as SQL, Python, or Java, usually supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (e.g., Hadoop, Spark), and certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and address complex data challenges. These abilities ensure efficient, scalable, and reliable data infrastructure that supports business intelligence and analytics needs.
Data Platform professionals often encounter challenges such as ensuring data reliability, scaling systems to handle increasing volumes, and maintaining security across diverse data sources. Balancing real-time processing with cost-effective storage and managing integration among various tools can add complexity. Collaboration with engineering, analytics, and product teams is key to quickly resolving issues and implementing new features while minimizing downtime.
A data platform is a system that collects, stores, processes, and manages large volumes of data to support analytics and decision-making. Data platform roles often involve working with database technologies, data integration tools, and cloud environments to ensure data accessibility, security, and quality.
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