Chief Data Engineer

We are seeking an experienced Chief Data Engineer to join our remote team and lead the delivery of innovative, scalable data solutions.

In this role, you will manage technical teams, design system architectures, and contribute to impactful projects that address complex data challenges. The ideal candidate will possess a strong technical foundation, leadership capabilities, and a passion for mentoring and fostering innovation.

Responsibilities

Lead the design and implementation of scalable and efficient data architectures
Build and maintain data pipelines and workflows to ensure data quality and accessibility
Collaborate with stakeholders to define requirements and enable data-driven solutions
Provide technical guidance and mentorship to engineering teams
Optimize system performance to enhance scalability and reliability
Establish technical best practices and drive high-quality code delivery
Conduct code reviews and actively contribute to technical discussions
Support pre-sales efforts, client engagements, and special SWAT team activities
Promote knowledge sharing within teams and participate in meetups and technical talks
Stay updated on emerging technologies and integrate them into strategic solutions

Requirements

Degree in Engineering, Computer Science, or a related field
Over 7 years of experience as a Data Engineer
At least 2 years of leadership experience, including team management and project direction
Background in at least 2 full-cycle projects or multiple phases of development lifecycles
Proven hands-on expertise in coding and solving complex technical challenges
Proficiency in Python for data processing, analysis, and automation
Knowledge of Amazon Web Services (AWS) for cloud-based data solutions
Expertise in Databricks for big data analytics and machine learning workflows
Competency in system design and architecture, balancing high-level vision with detailed implementation
Demonstrated impact in technical contributions within projects and across organizations
Broad cross-disciplinary background in multiple technical domains and stacks
Mindset for mentoring and sharing expertise within teams and the larger community
Capability to innovate by utilizing new tools, frameworks, or methodologies
Flexibility to adapt to diverse programming languages, technical stacks, and domains as needed
Fluent communication skills in English at a B2 level or higher

Nice to have

Background in real-time data processing and streaming technologies
Knowledge of advanced machine learning and AI frameworks
Familiarity with serverless computing solutions for data workflows

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Chief Data Engineer

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