Data Architects(REMOTE)
Role details
Job location
Tech stack
Job description
high-performance ELT pipelines for a centralized data warehouse. Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture. Own key data warehouse components including development, deployment, monitoring, and continuous improvement. Provide technical leadership through data architecture reviews and system design discussions. Contribute to engineering culture and data-driven best practices. Support internal and external stakeholders with a focus on data accessibility and usability. Mentor team members and participate in hiring processes. MUST HAVES ~5+ years of experience in data engineering building scalable systems and pipelines. ~ Expert proficiency in SQL and strong coding skills in Python. ~ Hands-on experience with data warehousing, data lakes, and large-scale data systems. ~ Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems). ~ Solid understanding of
Requirements
distributed system architecture focusing on availability, reliability, and performance. ~ Strong focus on execution and product delivery. ~ Exceptional attention to detail and quality. ~ Strong communication skills. ~ Ability to mentor and support other engineers. ~ Leadership mindset with ability to take initiative and deliver results. ~ Comfort working in a fast-paced, evolving environment. ~ Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS. ~ Upper-intermediate English level. PERKS AND BENEFITS Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: USD-based pay with education, fitness, and team activity budgets. Exciting projects: Modern solutions with Fortune 500 and top product companies. Flextime: Flexible schedule with remote and office options. J-18808-Ljbffr