Summary
✨ AI‑Generated
A senior data engineering role focused on architecting scalable data infrastructure for advanced analytics and digital transformation. You will lead complex distributed data solutions, establish technical standards, design cloud data warehouses and lakes, resolve performance issues, strengthen resilience and security, and mentor junior engineers.
Highlights
Lead the design and implementation of complex data engineering solutions in a multinational technology environment. The role offers significant architectural influence, responsibility for scalable cloud data platforms, data governance and security, performance optimization, technical mentoring and the opportunity to set engineering standards.
Description
SEARGIN IS HIRING!
As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life.
You will find our solutions supporting advanced AI initiatives, financial analytics, and enterprise-scale digital transformation across global organisations.
About the role
The design and implementation of complex data engineering solutions, setting technical standards and mentoring junior team members.
This role requires deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns, enabling you to architect scalable data warehouses and data lakes, troubleshoot intricate performance issues, and ensure the resilience and security of critical data infrastructure.
You will drive technical excellence, contribute significantly to data governance, and influence the team's architectural decisions.
Requirements
Extensive experience leading the design, implementation, and construction of complex data engineering solutions and large-scale data architectures.Proven track record of leading high-impact projects that shape enterprise-level data infrastructure and developing long-term data architecture strategies.Demonstrated experience contributing significantly to data governance and ensuring the resilience and security of critical data infrastructure.Expert proficiency in multiple programming languages and Big Data technologies.Deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns.Proven capability to architect scalable data warehouses and data lakes, and to troubleshoot intricate system performance issues.AWS ExpertiseDB Expertise
Responsibilities
Scope / (Content Leadership): Leads the design and construction of large-scale data architectures.
Oversees and mentors junior engineers while driving technical excellence and setting standards across the team.Accountability/Problem Solving: Solves highly complex data engineering problems and troubleshoots intricate performance issues.
Ensures that critical data infrastructure and systems remain highly scalable, secure, resilient, and efficient.Stakeholder Management: Liaises with senior leadership to align on data strategy and organizational needs.
Guides and directs various technical teams and effectively influences the team's architectural decisions.Impact/Strategy: Leads high-impact projects that significantly shape the organization's data infrastructure.
Develops long-term strategies for data architecture and contributes significantly to data governance initiatives.Complexity / (Product Size): Manages enterprise-level data systems and infrastructure.
Designs and implements advanced data processing frameworks, scalable data warehouses, and data lakes.Business / Technical ability: Acts as an expert in multiple programming languages and Big Data technologies.
Demonstrates a deep understanding of distributed systems, cloud data platforms, advanced ETL/ELT patterns, and data architecture best practices.
Contact: kornelia.chrzanowska@seargin.com
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To learn more about Seargin, please visit our web page: www.seargin.com
