Job Title:
Technical Manager, Data Engineering
Overview:
Background
Mastercard is on a journey to modernize and advance our Finance Technology landscape, covering Billing, Financial Planning, Accounting, Settlement, Treasury, Reporting and Analytics. This position will be responsible for developing and delivering high-impact technology solutions that align with our business and technical objectives. By collaborating with cross-functional teams, including business/product owners and other technical experts, you will ensure that our solutions meet evolving customer needs while improving performance, scalability, and reliability.
Responsibilities
- Manage a technical team, mentoring them, providing technical guidance, measuring performance and helping in their career growth. As a leader of Data platform / technology, providing guidance on complex technical challenges and driving resolution, ensuring solutions align with Mastercard’s engineering and data principles, and technical policies.
- Partnering with data owners, engineering and platform teams to establish robust data pipelines, create Data Products, implement data models, and ensure seamless integration across diverse systems and domains.
- Ensure alignment between business goals and technical execution, making sure features and solutions meet business requirements and customer needs.
- Participate in sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently.
- Assigning tasks to the team and ensuring delivery within time and quality
- Adoption and ensure implementation by the team - best practices in software / data engineering, automated code reviews, testing, and continuous integration/continuous delivery (CI/CD).
- Optimize the cost/benefit of software features and architecture, ensuring scalability, performance, and operational efficiency.
- Ensuring solutions align with Mastercard’s engineering and data principles, and technical policies.
- Identify opportunities for process improvements, helping to streamline workflows and enhance team productivity.
- Work closely with Product Owners / business to understand requirements and implement technical solutions with engineering best practices.
- Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent
- Participate in architectural discussions, iteration planning, and feature sizing meetings
- Adhere to Agile processes and participate actively in agile ceremonies
All About You
15+ years of hands-on experience building Data platforms (data lakehouses) developing solutions on on-prem / cloud.
- Proven experience as a hands-on data engineer, with a strong focus on delivering large-scale projects in an agile environment.
- Deep understanding and experience with modern Data Platforms – Cloudera Data Platform (CDP)
- Strong hands-on experience with PySpark.
- Experience with Cloudera Data Platform (CDE, CDW, Ozone, Airflow, SDX), Apache Ranger
- Deep understanding of distributed data systems and Hive Metastore
- Experience and understanding of cataloging, lineage, and governance
- Experience / understanding Open Data Contract Standard (ODCS) and its implementation
- Experience working with SQL, file formats (Iceberg/Parquet), and partitioning/bucketing strategies.
- Prior experience with financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems, is a plus.
- Experience with data lifecycle management, including ingestion, ETL, pruning, modeling, and governance, within highly regulated environment
-Experience and knowledge of Bit Bucket, Rally, and Jenkins a plus
-Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team
- Nice to have
----- Experience modernizing enterprise finance systems or regulated environments
------Knowledge of CI/CD, data engineering best practices
------Understanding of financial data structures, accounting processes, or reconciliation workflows.
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
