Lead Data Platform Engineer

EPAM Systems; Brasil; Presencial; BRL 260 000 - 380 000; Tempo integral

Resumo da oferta

EPAM Systems is seeking a Lead Data Platform Engineer to define, build, and operate a governed, scalable enterprise data platform that accelerates analytics and insight delivery. You will lead strategy, architecture, delivery, and governance for an AWS-native lakehouse while enabling secure self-service access to trusted data.

You will own ingestion pipelines, transformations, and orchestration, implement governance and data catalog integration, and mentor a team.

Qualificações

• 5+ years of data engineering or data platform experience.
• 1+ year of people leadership in data engineering or platform teams.
• Strong platform strategy to define roadmaps, standards, and investment direction.
• Proven ownership of end-to-end platform build and operations.
• Advanced AWS data ecosystem experience (DMS, Glue, DataZone).
• Expert data governance and security, including catalog integration and access controls.
• Strong lakehouse architecture experience for scalable, governed data lakehouse.
• Strong SQL for data analytics across ingestion, transformation, and analytics.
• Excellent stakeholder management to align cross-functional partners.
• Upper-Intermediate English (B2).

Responsabilidades

• Define the enterprise data platform vision, strategy, and multi-quarter roadmap.
• Design and evolve an AWS-native lakehouse architecture for secure access to trusted data.
• Establish reusable platform standards, reference architectures, and engineering quality frameworks.
• Drive migration from legacy data platforms to the target lakehouse and governance model.
• Own delivery and operations of ingestion pipelines, transformation frameworks, and orchestration patterns.
• Implement governance controls, data catalog integration, and self-service discovery using Amazon DataZone.
• Ensure reliability, observability, performance, scalability, and cost efficiency across platform workloads.
• Enable fine-grained access control and secure consumption patterns across domains.
• Lead tooling decisions and integration patterns for analytics and BI consumption, including SQL-based access.
• Mentor and grow a team, setting clear expectations and fostering continuous improvement.
• Align with business domains to onboard data products and scale adoption of self-service data access.
• Act as the escalation point for platform decisions, risks, and trade-offs across stakeholders.

Conhecimentos

Data engineering

People leadership

Platform strategy

End-to-end delivery

AWS data ecosystem

Data governance

Lakehouse architecture

SQL analytics

Stakeholder management

English (B2)

Ferramentas

AWS Database Migration Service

AWS Glue

Amazon DataZone

SQL

Descrição da oferta de emprego

We are seeking a Lead Data Platform Engineer to define, build, and operate a governed, scalable enterprise data platform that accelerates analytics and insight delivery. You will lead strategy, architecture, delivery, and governance for an AWS-native lakehouse while enabling secure self-service access to trusted data.

Responsibilities

• Define the enterprise data platform vision, strategy, and multi-quarter roadmap
• Design and evolve an AWS-native lakehouse architecture for secure, high-performance access to trusted data
• Establish reusable platform standards, reference architectures, and engineering quality frameworks
• Drive migration from legacy Microsoft-based data platforms to the target lakehouse and governance model
• Own delivery and ongoing operations of ingestion pipelines, transformation frameworks, and orchestration patterns
• Implement governance controls, data catalog integration, and self-service discovery using Amazon DataZone
• Ensure reliability, observability, performance, scalability, and cost efficiency across platform workloads
• Enable fine-grained access control and secure consumption patterns across domains
• Lead tooling decisions and integration patterns for analytics and BI consumption, including SQL-based access
• Mentor and grow a team, setting clear expectations and fostering continuous improvement
• Align with business domains to onboard data products and scale adoption of self-service data access
• Act as the escalation point for platform decisions, risks, and trade-offs across stakeholders

Requirements

• 5+ years of data engineering or data platform experience
• 1+ years of people leadership experience in data engineering or platform teams
• Strong platform strategy skills to define roadmaps, standards, and investment direction
• Proven project delivery ownership for end-to-end platform build and operations
• Advanced AWS data ecosystem experience with AWS Database Migration Service, AWS Glue, and Amazon DataZone
• Expert data governance and security knowledge including data catalog integration, access controls, and policy enforcement
• Strong lakehouse architecture experience designing scalable, governed data lakehouse foundations
• Strong SQL for Data Analytics skills across ingestion, transformation, and consumption use cases
• Excellent stakeholder management skills to align cross-functional domain, security, and analytics partners
• Upper-Intermediate English proficiency (B2)

Nice to have

• Agentic Delivery Methodology experience for scalable platform execution
• Analytics & Data Assessment experience to baseline data maturity and prioritize improvements
• Apache Spark experience for large-scale batch and streaming workloads
• Microsoft Power BI integration experience for governed self-service analytics
• Microsoft SQL Server Integration Services experience supporting legacy pipeline migration

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.