Engineering Manager; Data & Distributed Systems; Data Platform , Hyderabad

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 role sits within the DICE (Data Insights, Collection & Engineering) team, which builds and operates a scalable, multi-tenant data ecosystem enabling analytics, real-time insights and machine learning across products such as Max, Discovery+, Sports, Studios and News. The team works at the intersection of data and platform engineering, building robust pipelines and ensuring data quality and governance, in close collaboration with product, analytics and engineering stakeholders.

• Lead a small team of 2-5 engineers delivering 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.
• Build a strong engineering team culture focused on ownership, customer impact, reliability, inclusion and high standards, coaching engineers to improve technical judgment, execution quality, stakeholder communication and operational discipline.
• Hire, develop and retain engineers, grow tech leads and emerging technical leaders, and regularly engage stakeholders to communicate status, risks and key decisions.
• Own the team's backlog and delivery roadmap, translating departmental goals into prioritised, well-scoped work matched to available engineering capacity.
• Modernise platform capabilities across storage, compute, orchestration, ingestion, access, metadata and self-service workflows, and partner with peer managers to align priorities and reduce duplication of effort.
• Establish and maintain strong operational practices across owned systems, including SLIs/SLOs, dashboards, alerts, runbooks, incident response, RCAs/COEs and post-incident learning, while improving alert quality, reducing manual toil and increasing automation.
• Drive a culture of proactive reliability engineering, cost-aware design and continuous improvement across platform operations.
• Drive adoption of metadata, lineage, ownership, classification, data quality, access review and lifecycle management practices, and improve the discoverability and trustworthiness of data assets through cataloguing, documentation, schema management and data product standards.
• Deliver self-service onboarding, automated access workflows, reusable templates and standard platform patterns that reduce manual engineering dependency and improve developer experience for teams building, deploying, operating and governing data products.
• Partner with engineering, product, program management, analytics, data science, operations engineering, security, governance, privacy and business stakeholders, embedding controls into platform workflows rather than treating them as manual afterthoughts.

• 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 career development.
• Hands-on experience building and operating large-scale data platforms, distributed systems or cloud infrastructure.
• Str…