Senior Data Platform Engineer: Scalable Cloud Pipelines

Mastercard; Bray (OK); On-site; USD 120,000 - 180,000; Full time

Job summary

Mastercard seeks a Senior Data Engineer to contribute to the Data Commercialization Platform (DCP), building secure, scalable data products and platform services on Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. You will design and operate batch and streaming pipelines while enhancing governance and observability across enterprise data solutions.

You will collaborate with product, architecture, and governance teams to deliver data-driven capabilities at scale, with emphasis on

Qualifications

• Bachelor's degree in a technical field (CS/engineering/math or related).
• Experience designing, developing, and supporting large-scale data engineering and platform engineering solutions.
• Hands-on with Databricks, Snowflake, Iceberg, Delta Lake, and AWS and/or Azure.
• Strong Python, SQL, Spark/PySpark and data engineering best practices.
• Experience building batch and real-time data processing pipelines.
• Experience with CI/CD, Git, automated testing, IaC, and production support.

Responsibilities

• Design, develop, and support cloud-native data products and platform capabilities.
• Build and operate scalable batch and streaming data pipelines.
• Develop reusable frameworks, accelerators, and platform services on Databricks, Snowflake, Iceberg, and cloud platforms.
• Implement data governance, security, observability, and operational controls.
• Support platform modernization, automation, and engineering excellence through CI/CD and IaC.
• Collaborate with product, architecture, platform governance, and business teams to deliver enterprise data solutions.
• Participate in production support, operational readiness, and continuous improvement activities.

Skills

Databricks

Snowflake

Python

SQL

Spark/PySpark

Airflow

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

Databricks

Snowflake

Iceberg

Delta Lake

Job description

Mastercard seeks a Senior Data Engineer to contribute to the Data Commercialization Platform (DCP), building secure, scalable data products and platform services on Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. You will design and operate batch and streaming pipelines while enhancing governance and observability across enterprise data solutions.

You will collaborate with product, architecture, and governance teams to deliver data-driven capabilities at scale, with emphasis on