Engineering Manager (Data & Distributed Systems) - Data Platform , Hyderabad

Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.
If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!
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Manager, Software Engineering – Data Platform, Hyderabad
About Warner Bros. Discovery :
Warner Bros. Discovery's Global Technology organization sits at the intersection of technology, entertainment, and everyday utility. Our platform powers experiences across streaming, content delivery, personalization, subscriptions, commerce, and analytics for millions of customers worldwide. As a technology organization, we build scalable, data-driven products that enable Warner Bros. Discovery's continued growth and support our streaming platforms.
For more information, please visit www.wbd.com
Meet Our Team:
The DICE (Data Insights, Collection & Engineering) team at Warner Bros. Discovery powers data-driven experiences across global products like Max, Discovery+, Sports, Studios, and News. The team builds and operates a scalable, multi-tenant data ecosystem that enables analytics, real-time insights, and machine learning use cases across the organization. Positioned at the core of the data journey, the team is responsible for ingesting, processing, and transforming large volumes of client and server-side data into reliable and high-quality datasets. Operating at the intersection of data and platform engineering, the team focuses on building robust pipelines, ensuring data quality and governance, and driving innovation in real-time processing, observability, and modern data infrastructure. The team collaborates closely with product, analytics, and engineering stakeholders to enable data-driven decision-making at scale.
About the Role:
Warner Bros. Discovery is looking for an Engineering Manager to lead a small team of 2-5 engineers delivering critical Data & Audience Platform capabilities across data processing, self-service enablement, metadata, reliability, and operational excellence. This is a frontline engineering leadership role for a manager who can create clarity for a small team, drive execution discipline against a clear roadmap, and operate production systems with strong reliability and cost awareness.
The candidate must be well versed in modern data platform concepts, distributed systems, cloud platforms, engineering operations, and enterprise-grade governance, and must retain enough hands-on depth to review designs and guide the team’s technical decisions.
Role Scope
Lead a small team of 2-5 engineers responsible for foundational Data & Audience Platform capabilities used across analytics, data engineering, business intelligence, operational workflows, and AI/ML enablement.
Own execution across data collection, batch and streaming data processing, metadata, observability, cost efficiency, and self-service platform capabilities within the team’s domain.
Partner closely with engineering, product, program management, analytics, data science, operations engineering, security, and business stakeholders.
Roles & Responsibilities:
Engineering Leadership
Build a strong engineering team culture focused on ownership, customer impact, reliability, inclusion, and high standards.
Coach engineers to improve technical judgment, execution quality, stakeholder communication, and operational discipline.
Hire, develop, and retain engineers on the team, and grow tech leads and emerging technical leaders.
Regularly engage stakeholders to communicate status, risks, and key decisions for the team’s space.
Delivery and Execution
Own the team’s backlog and delivery roadmap, translating departmental goals into prioritized, well-scoped work matched to available engineering capacity.
Modernize platform capabilities across storage, compute, orchestration, ingestion, access, metadata, and self-service workflows within the team’s scope.
Partner with peer managers to align priorities across overlapping platform workstreams and reduce duplication of effort.
Operational Excellence
Establish and maintain strong operational practices across owned systems, including SLIs/SLOs, dashboards, alerts, runbooks, incident response, RCAs/COEs, and post-incident learning.
Improve alert quality, reduce manual toil, and increase automation across platform operations.
Drive a culture of proactive reliability engineering, cost-aware design, and continuous improvement.
Governance, Metadata, and Data Trust
Drive adoption of metadata, lineage, ownership, classification, data quality, access review, and lifecycle management practices.
Improve the discoverability and trustworthiness of data assets through cataloging, documentation, schema management, and data product standards.
Partner with governance, privacy, and security stakeholders to embed controls into platform workflows rather than treating them as manual afterthoughts.
Self-Service and Developer Experience
Deliver initiatives that reduce manual engineering dependency through self-service onboarding, automated access workflows, reusable templates, and standard platform patterns.
Improve developer experience for teams building, deploying, operating, and governing data products.
Apply consistent platform standards that help teams move faster while staying within reliability, privacy, security, and cost guardrails.
What to Bring:
A Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
12+ years of professional software or data engineering experience.
3+ years of experience directly managing engineers, including hiring, performance management, and caree