JioStar
media & entertainment
Architect-DataEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Architect - Data Engineering at JioStar. Skills: architecting large-scale distributed systems, scaling large-scale data platforms, data platform architecture, data infrastructure design, system design, performance optimization. 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”
What You'll Achieve.
define and drive the long-term technical vision for our data platform and infrastructure; lead the design of scalable, reliable, and high-performance data systems; translate complex technical possibilities into measurable business outcomes; shaping architecture, improving operational excellence, and enabling teams to build resilient, future-ready systems; Build scalable, reliable, and cost-efficient data infrastructure; 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; guide strategic decision-making; Lead the design and delivery of mission-critical systems and platform capabilities; accelerate innovation and reduce ambiguity
Industry & Context.
Exceptional analytical and problem-solving abilities; Simplify complex technical challenges into pragmatic, scalable solutions; Understand system dependencies, trade-offs, and limitations
What They're Looking For.
Must Have
architecting and scaling large-scale distributed systems and data platforms, ownership mindset with a track record of leading critical initiatives from conception to production, business acumen and stakeholder management skills, analytical and problem-solving abilities, Deep expertise in software engineering fundamentals, system design, and performance optimization, 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, Comfortable operating in fast-paced, ambiguous environments with evolving priorities, Growth-oriented mindset with a passion for learning, innovation, and engineering excellence
Nice to Have
Experience working with large-scale data ecosystems, cloud-native architectures, and modern data infrastructure technologies
What You'll Do.
Define and evolve the long-term architecture and technical strategy for data platforms and distributed systems across teams
and cost-efficient data infrastructure to support analytics
and operational workloads
Drive operational excellence by improving system reliability
Ensure high standards in architecture
and engineering best practices
Simplify complex technical challenges into pragmatic
Create and execute technical roadmaps aligned with business and organizational goals
Understand system dependencies
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 technical culture
Encourage experimentation and rapid prototyping to accelerate innovation and reduce ambiguity
How You'll Work.
Team & Collaboration
partner closely with engineering, product, marketing, and executive stakeholders; Influence engineering teams through technical leadership, architectural reviews, and hands-on problem-solving; Mentor engineers and technical leaders, fostering engineering growth and technical culture; collaboration
Communication Scope
stakeholder management skills; ability to align technical decisions to business impact
Process & Methodology
leading critical initiatives from conception to production, Create and execute technical roadmaps
Full Job Description
## 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
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