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Job Description

Design and optimize scalable, cost-efficient end-to-end data architectures.
Improve data delivery speed and engineering efficiency year over year.
Build reusable frameworks, templates, and automation to reduce repetitive work.
Develop and maintain reliable data pipelines, real-time systems, and analytics platforms.
Deliver production-ready solutions under tight timelines without compromising quality.
Resolve complex production issues independently and implement long-term fixes.
Evaluate new tools, frameworks, and architectures with clear cost–benefit analysis.
Proactively reduce technical debt and prevent recurring scalability issues.
Make and communicate technical trade-offs (e.g., batch vs. streaming, build vs. buy).
Apply advanced data or analytics concepts in production systems.
Act as a technical authority through code reviews, design reviews, and best practices.
Collaborate with stakeholders and translate technical decisions into business impact.

Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Minimum 3 years of experience in data engineering or related roles.
Strong experience building and operating production-scale data systems.
Hands-on experience with data pipelines, data warehouses/lakes, and cloud platforms.
Solid understanding of batch and streaming data processing.
Experience supporting analytics, machine learning, or AI data workflows.
Strong problem-solving skills in complex production environments.
Strong judgment in balancing speed, quality, cost, and scalability.
Clear communicati

Data Engineer Manager