Mastercard
Financial Services
Director,DataEngineering
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“Director, Data Engineering at Mastercard. Skills: Data Engineering, Cloud Platforms, DevOps, Data Architecture. Design and architect end-to-end cloud-native solutions. Provide technology leadership”
What You'll Achieve.
Eliminate friction in data management; Improve data storage; Improve data accessibility; Enforce standards and principles; Drive design and implementation of modern, scalable, and secure data platforms; Establish platform strategy; Propagate best practices; Deliver real, measurable value; Shape long-term strategy; Optimize infrastructure for performance; Optimize infrastructure for reliability; Optimize infrastructure for scalability; Optimize infrastructure for cost efficiency; Optimize data workflows for performance; Optimize data workflows for reliability; Optimize data workflows for scalability; Optimize data workflows for cost efficiency
Industry & Context.
Problem-solving; Troubleshoot infrastructure; Troubleshoot data workflows; Root cause analysis
What They're Looking For.
Must Have
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience), 12+ years of experience in cloud and data platform architecture, DevOps, or related technical roles, Proven hands-on expertise with AWS and Azure services, Track record of building DevOps pipelines and infrastructure-as-code, Solid understanding of cloud security concepts, IAM design, data encryption, and governance frameworks, Experience with data engineering frameworks such as Spark, PySpark, and large-scale ETL systems, Proficiency in scripting and automation using Python, Bash, or PowerShell, Demonstrated success in architecting and delivering medallion architecture solutions in a production environment, Experience with containerization and orchestration tools, Comfortable working in Agile/Scrum development environments
Nice to Have
Familiarity with data governance tools such as AWS Lake Formation or Azure Purview, Knowledge of observability and logging stacks, Experience with cloud cost optimization strategies and financial management, Exposure to MLOps workflows and integration with machine learning pipelines
What You'll Do.
Design and architect end-to-end cloud-native solutions
Provide technology leadership
Provide people leadership
Drive DevOps initiatives
Create CI/CD pipelines
Implement infrastructure-as-code
Provision automated environments
Set cloud security best practices
Enforce cloud security best practices
Establish data governance frameworks
Enforce data governance frameworks
Design data engineering pipelines
Lead data engineering pipeline implementation
Implement Lakehouse architectures
Integrate with AWS services
Integrate with analytics engines
Translate business requirements
Foster technical excellence
Foster continuous improvement
Monitor infrastructure
Monitor data workflows
Troubleshoot infrastructure
Troubleshoot data workflows
Optimize infrastructure
Optimize data workflows
Document architecture decisions
Document operational standards
Establish technical best practices
Research emerging technologies
Participate in architectural discussions
Participate in iteration planning
Participate in feature sizing meetings
Adhere to Agile processes
Participate in agile ceremonies
How You'll Work.
Team & Collaboration
Cross-geography teams; Global engineers; Product teams; Engineering teams; Data stakeholders; DevOps teams; Cross-functional teams
Process & Methodology
Agile, Scrum, Iteration planning, Feature sizing
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** ### Director, Data Engineering ### 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 The Mastercard Services Technology team is looking for Director of Data Engineering, to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how we manage big data assets, store those assets, accessibility of data and, enforce standards and principles in the Big Data space both on public cloud and on-premise set up. This is a high-impact role where the person will be responsible for driving the design and implementation of modern, scalable, and secure data platforms across AWS and Azure. The scope of the role includes establishing platform strategy, enforcing governance, defining and propagating best practices across Data Platforms. The role will also involve collabor
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