Director, Data Engineering IND [T500-30160]

Talent500; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

DIRECTV India GCC is seeking a strategic Director, Data Engineering in Pune to lead enterprise data platforms and analytics initiatives. The role focuses on building cloud-native data platforms, enabling advanced analytics, and delivering high-impact data solutions at scale.

The ideal candidate has extensive experience in data engineering leadership, platform modernization, and cross-functional collaboration with product, security, and data science teams.

Qualifications

• Bachelor's degree in CS or Engineering required.
• 14-18 years of progressive data engineering/tech leadership experience.
• Proven experience leading multiple data engineering teams and large-scale initiatives.
• Expertise in enterprise data architecture, platform modernization, and scalable pipelines.
• Cloud-native data platforms, distributed processing, and modern data lake/data warehouse architectures.

Responsibilities

• Define and execute the technology vision, engineering strategy, and delivery roadmap for enterprise data platforms.
• Lead and develop data engineering managers and teams across domains.
• Drive platform modernization, automation, and AI-enabled analytics initiatives.
• Align technology investments with business priorities and data-driven decision-making.
• Partner with Product, Architecture, Security, Data Science, and Analytics teams to deliver business value.
• Establish engineering standards and reusable frameworks for cross-domain data architectures.
• Ensure platform scalability, reliability, governance, cost optimization, and performance.

Education

Bachelor's degree in CS or Engineering

Data engineering leadership

Cloud-native data platforms

Snowflake

Databricks

Spark

SAFe/Agile

Strong communication

Tools

Kafka

CDC

Job description

Talent500 is hiring for one of its clients.

About DIRECTV:

Since our inception in 1994, DIRECTV has been part of millions of American households, delivering favorite shows, sports, and premium content anytime, anywhere. We believe media entertainment is meant to be enjoyed, so we continuously evolve to provide personalized, best-in-class options that exceed expectations. We champion excellence, embrace emerging technologies, and offer industry-leading video services that feel made for each viewer.

About DIRECTV India GCC:

DIRECTV India GCC is our exciting new chapter, a Global Capability Center in Pune where exceptional technical and AI talent come together to solve meaningful challenges and build what’s next. It’s a high-impact, high-visibility environment built to deliver on business-critical priorities. Here, your work directly shapes entertainment technology that reaches millions, while you grow your career in one of the world’s most dynamic talent markets.

Our Purpose:

We’re here to reimagine what’s possible in entertainment, delivering experiences that meet the viewer’s needs, timing, and preferences. With nearly three decades at the forefront, we stay focused on our people, partners, and customers, creating innovative experiences that fit seamlessly into their lives, wherever and however they choose to watch. Driven by values we truly live, we channel curiosity, care, and commitment into innovation, aggregating, curating, and delivering entertainment with exceptional services that bring the future closer every day.

Our Values and Culture:

We built our culture with our people, not for them. Our values unite every teammate which forms a culture grounded in care, challenge, and delivery. They are more than just principles; they are how we operate.

Anchored in a 30-year legacy of innovation and community, we’re building a future better than yesterday – for our colleagues, our customers, and our company.

Position Summary:

To help drive this next chapter, we're seeking a strategic and innovative Director, Data Engineering, to lead our enterprise data engineering organization. This role defines and executes the technology vision, engineering strategy, and delivery roadmap for DIRECTV's modern data platforms and analytics ecosystem. As a people leader, you will build and develop high-performing engineering teams while driving platform modernization, data innovation, operational excellence, and scalable data solutions that enable business growth and advanced analytics.

The ideal candidate combines deep expertise in enterprise-scale data engineering, proven people leadership experience, and a passion for building cloud-native data platforms that empower data-driven decision-making across the organization.

Job Responsibilities:

Strategic Leadership:

• Develop and evolve engineering roadmaps for enterprise data platforms, analytics capabilities, and data services.
• Align technology investments and platform strategy with business priorities and data-driven decision-making objectives.
• Own departmental priorities, budgets, and outcomes with minimal oversight.
• Drive innovation through modern data architecture, automation, AI-enabled analytics, and emerging technologies.
• Partner with Product, Architecture, Security, Data Science, Analytics, and Enterprise Technology teams to deliver business value.
• Lead, mentor, and develop engineering managers, technical leaders, and high-performing data engineering teams.
• Foster a culture of innovation, accountability, collaboration, and continuous learning.
• Drive talent development, succession planning, and employee engagement initiatives.
• Establish engineering standards, reusable frameworks, and operational excellence across the organization.
• Lead the design, development, deployment, and support of enterprise-scale data platforms and pipelines.
• Drive enterprise data architecture, platform modernization, and scalable pipeline design.
• Establish reusable engineering frameworks and cross-domain data architecture standards.
• Ensure platform scalability, reliability, governance, performance, and cost optimization.
• Champion cloud-native data engineering practices and modern distributed processing frameworks
• Advance DIRECTV's modern data platform strategy using Snowflake, Databricks, Spark, and cloud-native technologies.
• Drive adoption of scalable data lake and data warehouse architectures.
• Identify opportunities to improve analytics capabilities, engineering productivity, and operational efficiency.
• Champion data-driven decision-making across the organization through high-quality, trusted data solutions.

Qualifications:

Required Experience:

• 14-18 years of progressive experience in data engineering and technology leadership.
• Proven experience leading multiple data engineering teams and delivering large-scale enterprise initiatives.
• Demonstrated ability to define technical strategy, establish engineering standards, and drive execution across multiple domains.
• Extensive experience with enterprise data architecture, platform modernization, and scalable data pipeline design.
• Strong knowledge of cloud-native data platforms, distributed processing, and modern data lake and data warehouse architecture.
• Experience managing executive stakeholders and influencing technology strategy across the organization.
• Strong leadership, communication, and organizational skills.
• Experience leading large-scale data, analytics, architecture, governance, or technology organizations
• Experience leading leaders and cross-functional teams within complex enterprise environments
• Proven track record executing enterprise data strategies and roadmaps to accelerate modernization, improve business outcomes, and strengthen organizational agility
• Deep expertise across the data lifecycle, including architecture, governance, quality, metadata, lineage, platform engineering, and operational management
• Experience modernizing and scaling enterprise data ecosystems, including cloud-based platforms, within highly regulated or complex operating environments

Required Technical Skills:

• Snowflake
• Data Pipeline & Platform Design and Architecture (incl. Data Mesh foundations)

Demonstrated Soft/Leadership Skills in a Data delivery organization:

• Data and metrics driven delivery management in SAFe/Agile frameworks
• Process re-design and organization structure setup

Preferred Skills & Experience:

• Kafka
• Change Data Capture (CDC)
• SnowPro Certifications
• Observability Tooling
• Experience building enterprise-scale cloud data platforms
• Experience leading globally distributed engineering organizations

Education:

• Bachelor's degree in computer science and engineering or equivalent

Note: This position is based in Pune, and applications are currently being considered from candidates based in Pune.

Talent Value Proposition statement:

At DIRECTV India, we're building a culture with our people, not for them, grounded in the values of We Care, We Challenge, and We Deliver. We will focus on building a better future than yesterday for our colleagues, customers, and company. As part of our team, you'll help shape the future of enterprise data platforms, enable advanced analytics and AI innovation, and contribute to business-critical capabilities that impact millions of customers. If you're ready to bring your expertise, leadership, and passion for innovation to a team redefining entertainment technology, we'd love to have you join us on this journey.

Headquartered in El Segundo, California, DIRECTV has been a household name in sports and entertainment for 30 years. We've grown our global footprint with DIRECTV India, a capability center in Pune built to support our operations and speed up how we build new technology. Here, our teams work on the platforms and products that bring together satellite and streaming, so customers get their favorite content without the hassle of switching between apps or inputs. From AI-driven personalization to content built around what people actually want to watch, we're shaping what entertainment looks like next, and Pune is a big part of that.

DIRECTV is an equal opportunity employer. Employment decisions are based on business requirements, qualifications, merit, and performance, without discrimination on the basis of legally protected characteristics under applicable laws.