Lead Data Engineer
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Big Data
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Cloud Technology
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Data Lineage
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SQL
Job Description
Lead Mastercard’s Data Commercialization Platform (DCP) team to design, build, and scale cloud-native data and Business Intelligence solutions across a multi-cloud ecosystem.
Responsibilities
- Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS
- Build scalable, high-performance data pipelines and analytics frameworks for enterprise data products
- Implement multi-cloud architectures across AWS and Azure, including Azure Databricks and ADLS Gen2
- Enable interoperability and integration across Databricks, Snowflake, AWS services, and Azure services
- Develop and maintain CI/CD pipelines, automation frameworks, and Infrastructure as Code for reliable data platform provisioning and deployment
- Implement secure, governed access patterns using RBAC, IAM, service principals, and enterprise identity integration
- Create reusable platform capabilities that support data interoperability across multiple compute engines and cloud providers
- Set engineering standards for development, testing, deployment, monitoring, documentation, and operational excellence
- Optimize for performance, scalability, reliability, resiliency, and cost efficiency
- Lead technical design reviews and influence architecture and platform engineering decisions
- Partner with Product, Architecture, Engineering, Data, and Business teams to translate complex requirements into sustainable solutions
- Provide technical leadership and mentorship to engineers from design through implementation
Requirements
- Deep hands-on experience as a Lead or Senior Data Engineer designing and building enterprise-scale cloud data, analytics, and BI platforms
- Strong expertise with Databricks, Snowflake, and AWS, including S3, Glue, EMR, and IAM
- Advanced proficiency with Apache Spark/PySpark, Delta Lake, SQL, and Python for large-scale data processing and analytics
- Experience building scalable ETL/ELT pipelines, data integration frameworks, and distributed data solutions
- Experience designing multi-cloud data architectures and integrations across AWS and Azure; Azure Databricks and ADLS Gen2 experience is a plus
- Strong background in CI/CD, Infrastructure as Code, automation, Git/GitHub, and DevOps practices for data platforms
- Experience implementing enterprise security, governance, and access controls including RBAC, IAM, service principals, data lineage, metadata management, and observability
- Knowledge of modern open data architectures and formats including Delta Lake and Apache Iceberg
- Understanding of FinOps, cloud cost optimization, performance, and scalability for large-scale workloads
- Proven ability to lead technical design and architecture decisions, drive complex initiatives across teams, and mentor engineers
- Strong communication and stakeholder management, with ability to articulate technical decisions, trade-offs, risks, and recommendations
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline (equivalent practical experience considered)
Technologies
- Databricks, Snowflake
- AWS, Azure, Azure Databricks, ADLS Gen2
- AWS S3, AWS Glue, AWS EMR, AWS IAM
- Apache Spark, PySpark, Delta Lake, SQL, Python
- CI/CD, Infrastructure as Code, Git, GitHub
- RBAC, service principals, data lineage, metadata management, observability
- Apache Iceberg
Benefits
- Competitive base salary
- Annual bonus or commissions (depending on the role)
- Insurance including medical, prescription drug, dental, vision, disability, and life insurance
- Flexible spending account and health savings account
- Paid leaves including 16 weeks of new parent leave and up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time and 5 personal days (pro-rated based on date of hire)
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- Deferred compensation for eligible roles
- Fitness reimbursement or on-site fitness facilities
- Eligibility for tuition reimbursement
Location and Work Model
- Arlington, VA (hybrid)
- Three days per week onsite
Corporate Security Responsibility
- Abide by Mastercard’s security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
- Report any suspected information security violation or breach
- Complete all periodic mandatory security trainings per Mastercard guidelines
Pay Range
- Arlington, Virginia: $161,000 - $266,000 USD per year
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