Manager Data Engineering
Reads like a Data Leadership role: running a data team.
Hyderabad - Phoenix Equinox Tower 2
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDefine the technical vision and architecture for the data platform
Manage, mentor and develop a team of engineers
Review architecture designs and code, and guide troubleshooting
Oversee delivery of engineering projects using KPIs and governance processes
Translate business needs from Product and Analytics teams into technical solutions
From the employer’s posting
Define and drive the technical vision for data platform
Manage and mentor team of engineers
Provide technical leadership through active participation in architecture design and code reviews.
Ensure timely and high-quality delivery of engineering projects by establishing best practices, KPIs, and governance processes.
Partner with Product, Engineering, Analytics and Data Science teams to translate business needs into technical solutions.
Education & alternatives
What To Bring - Master’s or bachelor’s degree in computer science, engineering or similar discipline - 10+ years of experience in data engineering and/or software engineering with at least 3-5 years in a leadership or managerial role overseeing engineering teams and large-scale projects.
Tools in this posting
- Java
- Python
- Scala
- SQL
- AWS
- Azure
- BigQuery
- Databricks
- GCP
- Kafka
- Redshift
- Snowflake
- Spark
Source — Tool mentions in context
- Ability to design, build and manage data engineering and AI/ML engineering pipelines at scale (both streaming and batch) - Proficient in programming languages like Python, Java or Scala and SQL. - Proficient in working with streaming data platforms (Kafka, Kinesis) and distributed data frameworks (Spark, Flink).
- 10+ years of experience in data engineering and/or software engineering with at least 3-5 years in a leadership or managerial role overseeing engineering teams and large-scale projects. - ·Strong understanding of modern data architecture, cloud-native platforms (AWS/GCP/Azure), and distributed systems. Ability to guide technical decisions. - Ability to design, build and manage data engineering and AI/ML engineering pipelines at scale (both streaming and batch)
- Proficient in working with streaming data platforms (Kafka, Kinesis) and distributed data frameworks (Spark, Flink). - Proficient in working with cloud data warehouses like Databricks, Snowflake, Redshift, or BigQuery. - Proven track record of managing and mentoring engineering teams, driving performance, and fostering a culture of innovation and accountability.
- Proficient in programming languages like Python, Java or Scala and SQL. - Proficient in working with streaming data platforms (Kafka, Kinesis) and distributed data frameworks (Spark, Flink). - Proficient in working with cloud data warehouses like Databricks, Snowflake, Redshift, or BigQuery.
About Warnerbros
Our mission is to enable unified analytics and data-driven use cases through a robust multi-tenant platform and semantic layer.
In the employer’s words · Read in context
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Sep 23, 2026 · 31 days ago
- Recorded sightings
- 25
- Last seen by us
- Oct 5, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
Manager, Data Engineering – Hyderabad
About Warner Bros. Discovery:
Warner Bros. Discovery is a leading global media and entertainment company with one of the world’s most distinctive and comprehensive portfolios of content, brands, and franchises across television, film, streaming, and gaming. The company brings together WarnerMedia’s premium entertainment, sports, and news assets with Discovery’s leading non-fiction, international entertainment, and sports businesses.
For more information, please visit www.wbd.com.
Meet Our Team
The Data & Audience Platform organization develops and maintains the frameworks, tools, and data products that power WBD’s flagship streaming service, Max, as well as non-streaming businesses across Films, Sports, News, and the broader WBD ecosystem. Our mission is to enable unified analytics and data-driven use cases through a robust multi-tenant platform and semantic layer. We deliver innovative solutions that help teams across the company drive subscriber growth, deepen engagement, and make timely, informed decisions in a rapidly evolving digital landscape.
Roles & Responsibilities
We are seeking a highly motivated Manager, Data Engineering, to help build a state-of-the-art data platform that supports data-driven use cases across the organization. The platform will host multiple data products, including Subscription, Content, and Product Analytics; Personalization and Recommendations; and Marketing and Ad Sales enablement. In this role, you will manage a team and design and deliver scalable, cloud-native solutions that address current and future big data initiatives.
Role Accountabilities:
Technical Leadership & Strategy
Define and drive the technical vision for data platform, ensuring alignment with business objectives and scalability requirements.
Lead architectural decisions to continue enhancing our state-of-the-art data platform
Hands-on Technical Leadership
Provide technical leadership through active participation in architecture design and code reviews.
Guide teams in troubleshooting complex technical issues while driving code quality, reliability, and engineering best practices.
Team Management & Development
Manage and mentor team of engineers to foster a culture of innovation, accountability, and continuous improvement.
Oversee resource planning, performance reviews, and career development for team members.
Delivery & Execution Oversight
Ensure timely and high-quality delivery of engineering projects by establishing best practices, KPIs, and governance processes.
Collaborate with program management to prioritize initiatives and manage dependencies.
Cross-Functional Collaboration
Partner with Product, Engineering, Analytics and Data Science teams to translate business needs into technical solutions.
Represent data in stakeholder discussions and communicate progress effectively.
Innovation & Continuous Improvement
Evaluate emerging technologies and tools to enhance platform capabilities and operational efficiency.
Champion automation, observability, and security best practices across the engineering organization.
What To Bring
- Master’s or bachelor’s degree in computer science, engineering or similar discipline
- 10+ years of experience in data engineering and/or software engineering with at least 3-5 years in a leadership or managerial role overseeing engineering teams and large-scale projects.
- ·Strong understanding of modern data architecture, cloud-native platforms (AWS/GCP/Azure), and distributed systems. Ability to guide technical decisions.
- Ability to design, build and manage data engineering and AI/ML engineering pipelines at scale (both streaming and batch)
- Proficient in programming languages like Python, Java or Scala and SQL.
- Proficient in working with streaming data platforms (Kafka, Kinesis) and distributed data frameworks (Spark, Flink).
- Proficient in working with cloud data warehouses like Databricks, Snowflake, Redshift, or BigQuery.
- Proven track record of managing and mentoring engineering teams, driving performance, and fostering a culture of innovation and accountability.
- Experience in defining technical roadmaps, aligning engineering initiatives with business objectives, and managing cross-functional dependencies.
- Ability to partner effectively with Product, Engineering, Analytics and Data Science teams, influencing stakeholders and communicating technical concepts to non-technical audiences.
- Demonstrated ability to evaluate emerging technologies, champion automation, and implement best practices for scalability, security, and observability.
What We Offer:
● A Great Place to work
● Equal opportunity employer
● Fast track growth opportunities
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
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Hyderabad - Phoenix Equinox Tower 2
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