Job at MasterCard Foundation

THE OPPORTUNITY 

Reporting to the Head of Enterprise Data Management, the Data Architect will support designing, executing, and managing the Foundation’s data architecture in alignment with the Digital and Data Information Technology’s (DDIT) strategic goals and data governance standards. This role will help define the Foundation’s data architecture and enterprise data strategy within the newly established Data and Analytics function. As part of a small, agile team, the Data Architect will develop tailored approaches to address unique business needs while collaborating with cross-functional teams to deliver digital solutions that enhance operational efficiency and support the Foundation’s 2030 vision.

WAYS YOU CAN CONTRIBUTE

• Support the Data Governance and Processing team in defining and implementing data quality metrics and monitoring processes to ensure data accuracy, completeness, and reliability.
• Collaborate with stakeholders across the Foundation, including Programs and Impact Functions, to ensure consistent and effective data management practices across all departments and programs.
• Work with IT and data teams to implement and maintain a data architecture that supports governance objectives, including data integration, metadata management, and data lineage tracking.
• Assist the Head of Enterprise Data Management in defining a scalable, fit-for-purpose Data Architecture strategy aligned with the Foundation’s core objectives.
• Partner with the Enterprise Architecture team to co-create solutions that meet stakeholder needs across the Foundation.
• Participate in the Technology Solution Forum, advising on solution architecture and ensuring adherence to data architecture standards across projects.
• Collaborate with the Enterprise Data Management and Data and Analytics teams to design and implement data models that support system interoperability, BI, and analytics requirements, adhering to Data Architecture principles to ensure efficient and reliable data flows across platforms.
• Work closely with the Digital and Data Information Technology (DDIT) team, the wider Foundation, and other key stakeholders to align on data architecture priorities and practices. Maintain and update architecture-related templates, guidelines, and deliverables.

WHO YOU ARE

• Bachelor’s degree in Data Science, Information Management, Computer Science, or a related field (Master’s degree preferred).
• Minimum of 7 years of experience in data architecture, data engineering, or a related role.
• Experience designing and implementing data architectures for enterprise environments, particularly building capabilities within an immature organization.
• Familiarity with project management tools, Microsoft Office Suite, and collaboration platforms.
• Proficiency in database design, data modelling, and data management technologies (e.g., SQL, NoSQL, data warehousing, data lakes).
• Experience with cloud data platforms, including Microsoft Azure.
• Hands-on expertise with ETL tools and data integration platforms.
• Strong analytical, problem-solving, and decision-making skills.
• Comfortable working flexibly and taking on a range of responsibilities to support their team.
• Excellent organizational skills, with the ability to prioritize competing demands, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
• Excellent communication and interpersonal skills, with the ability to communicate effectively across a large, multi-cultural organization.
• Demonstrated commitment to the Foundation's equity, inclusion, and social impact values, with a passion for driving positive change and empowering underserved communities globally.

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THE OPPORTUNITY

Reporting to the Head of Enterprise Data Management, the Data Engineer will build, maintain, and support data pipelines and storage solutions to deliver secure, reliable, and organized data for the Foundation, its Partners and Participants. You will play a key role in establishing new data capabilities for the Foundation and its Partners as part of a newly established Data and Analytics function. Collaborating with the wider Digital and Data Information Technology (DDIT) function, the Data Engineer will contribute to the Foundation’s recognition of its 2030 strategy by unlocking enhanced impact by providing data-driven insights.

WAYS YOU CAN CONTRIBUTE

• Design and build systems and pipelines for ingesting, integrating, and analyzing data at scale across the Foundation. Support Data Scientists with cleaning, validating and enriching data to deliver high-quality data for analysis.
• Design, develop and manage databases, data warehouses, and data lakes, leveraging best practice knowledge and prioritizing reliability, security and ease of use.
• Design and implement data models to support system interoperability and BI and analytics requirements, working closely with Data Architects to develop and maintain architecture in accordance with core Data Architecture principles and Data Scientists to enable analytics use cases, ensuring efficient and reliable data flows across Foundation platforms. Support implementation of process automation where appropriate to drive efficiency.
• Collaborate with the wider Data and Analytics team to drive ongoing improvement efforts to data pipelines and storage, fine tuning existing solutions to deliver advanced functionality and security for to the Foundation and its’ Partners and Participants while minimizing solution cost.
• Collect and integrate data from diverse sources, across DDIT, the wider Foundation and its’ Partners.
• Collaborate with the Data Governance team to ensure data engineering practices comply with relevant Foundation policies and frameworks.
• Support the Data Governance and Processing team to provide regular reports on data system performance and data quality to key stakeholders within the DDIT and wider Foundation.
• Maintain data management standards, promoting best practice ways of working related to data across the Foundation and its’ Partners to enhance data security and reliability.

WHO YOU ARE

• Bachelor's degree, preferably in Computer Science, Electrical Engineering, Information Technology, or a related field.
• 7 years’ experience in data engineering, ETL development, or a related role.
• Comprehensive understanding of data pipeline development and data modeling principles.
• Comfortable developing and maintaining data pipelines using programming languages like Python and SQL to extract, transform, and load data from various sources.
• Familiarity/experience with cloud-based data warehousing and platform technologies (e.g. SQL server, Microsoft Azure DW/Data Lake, AWS Redshift, etc.) and their data services.
• Comfortable working flexibly and taking on a range of responsibilities to support their team.
• Excellent organizational skills, with the ability to prioritize competing demands, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
• Excellent communication and interpersonal skills, with the ability to communicate effectively across a large, multi-cultural organization.
• Familiarity with project management tools, Microsoft Office Suite, and collaboration platforms.
• Demonstrated commitment to the Foundation's equity, inclusion, and social impact values, with a passion for driving positive change and empowering underserved communities globally.