Mastercard
Financial Services
LeadDataEngineer
Neural analysis suggests this role is
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“Lead Data Engineer at Mastercard. Skills: Data modeling, Data pipelines, Snowflake, Power BI. Lead design of data models. Architect data pipelines”
What You'll Achieve.
Simplify transaction recognition; Enhance purchase management; Streamline dispute resolution; Support reporting; Support insights; Support ad hoc analysis
Industry & Context.
Troubleshooting data issues; Troubleshooting visualization issues; Incident management; Root cause analysis; Issue mitigation
What They're Looking For.
Must Have
5+ years Python, 5+ years SQL, Analytics engineering background, Data platforms background, Data-driven roles background, Enterprise reporting experience, Dashboards experience, Advanced analytical use cases experience, Relational database concepts knowledge, Dimensional modeling knowledge, Data relationships knowledge, Scalable analytics consumption knowledge
Nice to Have
Experience in payments, Experience in financial services, Bachelor's degree in Computer Science, Bachelor's degree in analytics, Bachelor's degree in data science, Bachelor's degree in quantitative disciplines
What You'll Do.
Lead design of data models
Architect data pipelines
Optimize data pipelines
Optimize CI/CD pipelines
Resolve deployment issues
Resolve runtime issues
Champion GitLab best practices
Champion Git best practices
Lead deployment strategies
Ensure repeatable releases
Own promotion lifecycle
Establish release best practices
Establish governance best practices
Design data quality frameworks
Implement data quality frameworks
Develop Python solutions
Maintain Python solutions
Build JavaScript logic
Support JavaScript logic
Provide Power BI support
Optimize Power BI datasets
Govern Power BI reports
Govern Power BI workspaces
Configure Power BI subscriptions
Troubleshoot Power BI issues
Lead production support
Lead operational excellence
Perform root cause analysis
Mitigate issues proactively
Deliver data solutions
Partner with stakeholders
Enable advanced analytics
Refine data definitions
Resolve data challenges
Ensure trusted datasets
Act as technical leader
Conduct design reviews
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders; Analysts; Data engineering teams
Process & Methodology
Release management
Full Job Description
**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Lead Data Engineer ### Position Title: Lead Data Engineer Location: Austin, TX Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all Overview: Mastercard's Customer Experience and Disputes team is transforming the post-purchase journey by reducing friction, improving transparency, and enabling real-time collaboration between consumers, merchants, and issuers. This role will contribute to shaping innovative solutions that simplify transaction recognition, enhance purchase management, and streamline dispute resolution. We are seeking a highly analytical, execution focused, and collaborative Lead Data Engineer to join our Analytics team. This role partners closely with analysts, data engineering teams, and business stakeholders to deliver end to end analytical solutions—from designing Snowflake based data models to
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