Warnerbros · Posted 2 months ago

Director, Software Engineering - Data Platform, Hyderabad

Hyderabad - Phoenix Equinox Tower 2Executive
Diversity focus

The posting

key requirement, as the employer wrote it

Welcome to Warner Bros.

Discovery… the stuff dreams are made of.

Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.

Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.

Here you are supported, here you are celebrated, here you can thrive.

Director , Software Engineering - Data Platform, Hyderabad About Warner Bros.

Discovery: Warner Bros.

Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming.

The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

For more information, please visit www.wbd.com Meet our Team: The Data Platform 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 .

Role Summary Warner Bros.

Discovery is looking for a Director of Engineering to lead critical Data Platform capabilities across data infrastructure, data processing, self-service enablement, governance, metadata, access, reliability, and operational excellence.

This is a senior engineering leadership role for a leader who can manage engineering managers and senior technical teams, drive platform strategy, improve execution discipline, and operate large-scale systems with strong reliability and cost awareness.

The role does not require deep expertise in one specific technology or deep machine learning specialization.

However, the candidate must be well versed in modern data platform concepts, distributed systems, cloud platforms, engineering operations, and enterprise-grade governance.

Role Scope Lead engineering teams responsible for foundational Data Platform capabilities used across analytics, data engineering, business intelligence, operational workflows, and AI/ML enablement.

Own execution across platform infrastructure, data collection, batch and streaming data processing, metadata, access governance, FinOps, observability, and self-service platform capabilities.

Drive platform maturity with a focus on reliability, automation, governance, developer experience, security, cost efficiency, and operational readiness.

Partner closely with engineering, product, program management, analytics, data science, operations engineering, security, and business stakeholders.

Key Responsibilities Engineering Leadership Lead multiple engineering teams and managers responsible for critical Data Platform services.

Build a strong engineering culture focused on ownership, customer impact, reliability, inclusion, and high standards .

Coach managers and senior engineers to improve technical judgment, execution quality, stakeholder communication, and operational discipline.

Create clear operating mechanisms for roadmap planning, prioritization, delivery tracking, risk management, and leadership updates.

Hire, develop, and retain strong engineering managers, staff engineers, senior engineers, and emerging technical leaders.

Platform Strategy and Delivery Translate business and platform strategy into clear engineering roadmaps, milestones, and measurable outcomes.

Drive modernization of data platform capabilities across storage, compute , orchestration, ingestion, access, metadata, governance, and self-service workflows.

Balance near-term delivery needs with long-term architecture quality, operational simplicity, and cost efficiency.

Partner with peer leaders to align priorities across overlapping platform workstreams and reduce duplication of effort.

Ensure platform investments improve developer productivity, data trust, business velocity, governance, and operational scale.

Operational Excellence Establish 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.

Ensure major launches have clear readiness criteria, monitoring, rollback strategy, ownership, support model, and communication plan.

Drive a culture of proactive reliability engineering, cost-aware design, and continuous improvement.

Partner with operational tooling and platform teams to improve observability, cost transparency, anomaly detection, and self-service support.

Governance, Metadata, and Data Trust Ensure platform systems support secure, compliant, and auditable access to data.

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

Warnerbros

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