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Architect - Data Engineering
Bengaluru · Staff/Principal
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What we know about this role
LOW
JioStar is showing limited hiring activity lately. Expect slight delayed response.
First 72 hours
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Skills required
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Job description
Job Summary:
As an Architect in the Data Engineering organization at JioHotstar, you will define and drive the long-term technical vision for our data platform and infrastructure. You will lead the design of scalable, reliable, and high-performance data systems that power analytics, machine learning, experimentation, and business decision-making at massive scale.
In this role, you will partner closely with engineering, product, marketing, and executive stakeholders to translate complex technical possibilities into measurable business outcomes. You will play a critical role in shaping architecture, improving operational excellence, and enabling teams to build resilient, future-ready systems.
About the Team:
This is an opportunity to build foundational platforms that operate at internet scale and influence experiences for millions of users every day. You’ll join a team that values clarity over complexity, ownership over bureaucracy, and continuous learning over ego. We move fast, solve meaningful problems, and invest deeply in engineering excellence, collaboration, and innovation.
KEY RESPONSIBILITIES:
Define and evolve the long-term architecture and technical strategy for data platforms and distributed systems across teams
Build scalable, reliable, and cost-efficient data infrastructure to support analytics, ML, and operational workloads
Drive operational excellence by improving system reliability, observability, scalability, and efficiency
Ensure high standards in architecture, system design, code quality, and engineering best practices
Simplify complex technical challenges into pragmatic, scalable solutions
Create and execute technical roadmaps aligned with business and organizational goals
Understand system dependencies, trade-offs, and limitations to guide strategic decision-making
Lead the design and delivery of mission-critical systems and platform capabilities
Influence engineering teams through technical leadership, architectural reviews, and hands-on problem-solving
Mentor engineers and technical leaders, fostering engineering growth and strong technical culture
Encourage experimentation and rapid prototyping to accelerate innovation and reduce ambiguity
SKILLS & ATTRIBUTES FOR SUCCESS:
Proven experience architecting and scaling large-scale distributed systems and data platforms
Strong ownership mindset with a track record of leading critical initiatives from conception to production
Excellent business acumen and stakeholder management skills, with the ability to align technical decisions to business impact
Exceptional analytical and problem-solving abilities with a bias toward simplicity and execution
Deep expertise in software engineering fundamentals, system design, and performance optimization
Strong understanding of data structures, algorithms, distributed computing, and modern backend technologies
Experience building high-throughput, low-latency, and highly available systems
Ability to mentor and influence teams while fostering a collaborative and inclusive engineering culture
Comfortable operating in fast-paced, ambiguous environments with evolving priorities
Growth-oriented mindset with a passion for learning, innovation, and engineering excellence
Preferred education and experience:
Bachelor’s or Master’s degree in Computer Science or a related field
10+ years of experience in software engineering, with significant experience in backend and data engineering systems
Experience working with large-scale data ecosystems, cloud-native architectures, and modern data infrastructure technologies is preferred
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