Principal Data Engineer

MasterCard; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a leading global technology company as a Principal Data Engineer, where your expertise in data architecture and cloud platforms will drive innovation in the payments industry. This role offers the chance to lead the development of scalable data solutions, ensuring security and performance across a diverse technology landscape. You'll work with a talented team to optimize services and enhance customer experiences, all while being hands-on in a dynamic and agile environment. If you're passionate about leveraging cutting-edge technology to solve industry challenges, this opportunity is perfect for you.

Qualifications

• Extensive experience in data and application development.
• Proficiency in multiple programming languages including SQL and Python.
• Hands-on experience with cloud technologies and data platforms.

Responsibilities

• Lead the data platform growth across product suite and technology landscape.
• Drive architectural design and maintain existing applications.
• Collaborate with diverse technology teams to implement solutions.

Skills

Data Architecture

Cloud Platforms (Snowflake, Azure)

Data Engineering

Software Development

SQL

Python

NodeJS

Java

DevOps

ETL Tools

Education

Degree in Computer Science

Tools

Snowflake

Databricks

Git

Job description

Job Title:

Principal Data Engineer

Overview:

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.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Do you have a passion for developing products using leading-edge technology that solve for key industry pain points?

Role:

Ethoca is seeking a Principal Data Engineer to join our team to lead the data platform growth across our product suite of solutions and technology landscape. This senior role is visible and critical as part of a high performing team – it will appeal to you if you have an effective combination of domain knowledge, relevant experience, and the ability to execute on the details.

You will bring cutting edge data engineering, data lake expertise and software development experience with an extensive cloud platform architecture background. Expectation is that you are hands on and capable of driving the solutions and architecture to build out and support our products. You will own this – our teams are small, agile, and focused on the needs of the high growth fintech marketplace. We are committed in making our systems resilient and responsive yet easily maintainable.

You will drive the architectural design, including dependent services, service interactions and policies while owning the development data applications, services and scaling the data platform in the cloud. Maintaining and scaling existing applications and platforms is imperative and part of your portfolio. Applications are built on data that resides in our cloud and on-premises platforms so we expect the successful candidate will always have attention to detail; configuration, maintenance, security and reliability of data in the different environments as we build out a state-of-the-art data foundation.

• Hands-on responsibility for data architecture across environments with the capability to write high quality, secure code that is modular, functional, and testable
• Design and build technology roadmaps to optimize services and functions focusing on performance, security, and cost/benefit optimization
• Focus on standing up/adopting tools that will enable both internal and external customers
• Key leader/contributor in the data and software and platform and data warehouse development life cycle (i.e. design, development, documentation, testing, deployment, support)
• Understand and tune performance across all physical and logical dimensions
• Support architects and engineers as they design and build effective, agile applications and platforms
• Work efficiently within a high security, PII and PCI-DSS environments

All About You:

• Extensive experience with data and application development experience focused on complex and highly scalable architectures and applications and working with large cross functional technical teams on solutions and delivery.
• Extensive experience with cloud-based data platforms (Snowflake, Cosmos, Postgres etc. in Azure preferred), serving as technical SME for all aspects of the data platform (architecture, design, development, platform operations (prod/non-prod), cost management).
• Hands on experience with data science (ChatGPT, LLM’s, ML etc) and their implementations and deployment in cloud computing
• Extensive data cloud and data experience (preferably in Snowflake, but open to other technologies eg Databricks)
• Proven ability to technically lead (not people leadership) a data platform in a diverse environment spanning product development, business applications, data science, data warehousing and analytics
• Proven collaboration with diverse technology teams (engineering, security, compliance and governance) in order to architect and implement solutions
• Proven innovator with the ability to identify opportunities with existing and/or new technologies and the ability to build POC’s and collaborate with other technical leaders on the viability and benefits of new innovations
• Proficiency with cloud technologies (SaaS, IaaS, PaaS, serverless technology, NoSQL databases), micro-service design, DevOps
• Keen desire to be hands on and develop solutions, architectures guidance and mentorship.
• Degree in Computer Science, or a related technical field including programming
• Extensive experience in multiple programming languages such as SQL, Python, NodeJS, Java, Java Script, etc. are mandatory
• Hands on SME experience with Snowflake, Databricks or similar in an Azure, AWS or GCP

Experience working:

• In a data and enterprise architecture environment with a deep understanding of data architecture and patterns for massive scale and interoperability
• As a mentor and teacher of new technologies and design patterns across diverse technical groups
• In database change management process (DCM) and experience with CI/CD
• With Source Control System (SCS) is a must – preferably “Git” source control
• Deep understanding of ETL tools
• Reporting/Dashboarding tool/s experience
• Quick learner with the ability to pick up new ideas and concepts quickly
• Top notch problem solving and analytical skills

Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures.