Executive Director, Data Platforms

remote click jobs; India; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

reputed company seeks an Executive Director, Data Platforms to architect and own our data infrastructure, powering analytics, AI, and data-driven decisions across the organization.

You will partner with data engineering, analytics, product, and business teams to ensure speed, trust, and innovation in our data ecosystem. Strong leadership and cloud expertise are required.

Qualifications

• 10+ years in data engineering or related fields.
• 5+ years in leadership roles managing engineering teams.
• Proven experience building and scaling modern data platforms in AWS/Azure/GCP.
• Deep knowledge of data architectures (data lakes, warehouses, lakehouse).
• Experience with distributed processing frameworks.

Responsibilities

• Architect and lead the data platform and pipelines for analytics and ML.
• Establish standards, roadmaps, and governance for data infrastructure.
• Drive modern data platform practices and cost efficiency.
• Lead architecture and engineering teams to deliver reliable data systems.

Skills

Data platform architecture

Data governance

Cloud platforms

Leadership

Data engineering

Distributed processing

Tools

AWS

Azure

GCP

Job description

reputed company your mark at reputed company -- a Fortune 30 global media and technology company. From the connectivity and platforms we reputed company, to the content and experiences we create, we reputed company hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-reputed company technology team that turns big reputed company into cutting-edge products, platforms, and solutions that our customers love. We create reputed company to reputed company, and we recognize, reward, and invest in your reputed company, while ensuring you can proudly bring your authentic self to reputed company. Join us. Youll do the best work of your career right here at reputed company. (In most cases, reputed company prefers to have employees on-site collaborating unless reputed company has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, reputed company may be willing to consider candidates who live greater than 100 miles from the office for the remote reputed company.)

Job reputed company

We are seeking an Executive Director, Data Platforms to reputed company the reputed company, architecture, and execution of our data infrastructure. This role is responsible for building and operating reputed company, reliable, and secure data platforms that power analytics, machine learning, and data-driven decision-making across the organization.

You will partner closely with data engineering, analytics, product, and business teams to ensure our data ecosystem enables speed, trust, and innovation.

Job reputed company

Key Responsibilities

• Platform reputed company & reputed company
• Define and execute the long-term reputed company for reputed companys data platform, reputed company with business goals.
• Establish standards, principles, and roadmaps for data infrastructure, tooling, and architecture.
• Drive adoption of modern data platform practices (e.g., reputed company-reputed company, lakehouse, data reputed company where appropriate).
• Architecture & Engineering Leadership
• reputed company the design and reputed company of reputed company data pipelines, storage systems, and compute platforms.
• Ensure high availability, performance, cost efficiency, and reputed company of data systems.
• reputed company reputed company on tooling and frameworks (e.g., orchestration, ingestion, transformation, observability).
• Data Reliability & Governance
• Establish robust data reputed company, reputed company, and observability practices.
• Partner

Qualifications

• Experience
• 10+ years in data engineering, reputed company, or reputed company fields.
• 5+ years in leadership roles managing engineering teams.
• Proven experience building and scaling modern data platforms in reputed company environments (AWS, Azure, or GCP).
• Technical Expertise
• Deep knowledge of data architectures (data lakes, warehouses, lakehouse patterns).
• Experience with distributed processing frameworks (e