Principal Data Engineer driving modernization from legacy systems to cloud - native platforms at Mastercard. Architecting and developing ETL platforms with AI integration and establishing data - driven strategies.
About the role
- **About the Role**
- We are seeking a highly skilled **Lead Data Engineer** to drive end-to-end data engineering initiatives, lead cross-functional teams, and deliver scalable, cloud-based data solutions. The ideal candidate will bring deep technical expertise, strong leadership, and the ability to collaborate effectively with global stakeholders in a fast-paced environment.
- **Key Responsibilities**
- **Leadership & Team Management**
- - Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables.
- - Provide technical direction, coaching, and knowledge sharing to foster team growth and capability building.
- - Establish and enforce engineering best practices, coding standards, and reusable frameworks.
- - Champion innovation, continuous learning, and thought leadership within the data engineering function.
- **Project Delivery & Execution**
- - Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives.
- - Define high-level solution designs, data architectures, and ETL/ELT frameworks for cloud-based data platforms.
- - Drive development, code reviews, unit testing, and deployment to production environments.
- - Ensure optimal performance, scalability, and reliability across data pipelines and systems.
- **Stakeholder Communication & Collaboration**
- - Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions.
- - Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders.
- - Act as the primary point of contact for client technical discussions, solution design workshops, and progress reviews.
- **Risk & Issue Management**
- - Proactively identify project risks, dependencies, and issues; develop and execute mitigation plans.
- - Ensure governance, compliance, and alignment with organizational standards and methodologies.
Requirements
- 12+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects.
- Strong expertise in Big Data concepts, distributed systems, and cloud-native architectures.
- Proficiency in Snowflake, SQL, and a wide range of AWS services (Glue, EMR, S3, Aurora, RDS, Lambda, Step Functions).
- Hands-on experience with Python, PySpark, and building cloud-based microservices.
- Strong problem-solving, analytical skills, and end-to-end ownership mindset.
- Proven ability to work in Agile/Scrum environments with iterative delivery cycles.
- Exceptional communication, leadership, and stakeholder management skills.
- Demonstrated capability in leading onshore–offshore teams and coordinating multi-region delivery efforts.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Professional development opportunities
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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