Job Overview

Amazon is hiring a Manager, Data Engineering & Insights for the Prime Video Advertising organization in India. This is a senior engineering leadership opportunity focused on building and scaling data platforms that support advertising measurement, reporting, analytics, and business decision-making. The role combines data engineering leadership with software development and emerging GenAI initiatives, making it suitable for an experienced technology leader who can manage people while remaining deeply involved in architecture and technical direction.

The position will lead a multidisciplinary team of Data Engineers and Software Development Engineers. The manager will take ownership of people development, hiring, technical strategy, platform delivery, operational health, and stakeholder alignment. A major focus will be building reliable data platforms, pipelines, data lakes, and software systems that help Prime Video Advertising teams work with large volumes of business data efficiently.

Key Responsibilities

• Build and lead a team containing Data Engineers and Software Development Engineers, including hiring, onboarding, coaching, performance management, and career development.
• Define the technical vision and architecture for data platforms, ETL pipelines, data lakes, and related software systems.
• Take end-to-end ownership of platform delivery, reliability, operational excellence, and on-call health.
• Guide senior engineers in establishing data architecture and platform patterns while also shaping software and GenAI capabilities.
• Lead technical planning for data semantics, GenAI tooling, agent-related capabilities, evaluation approaches, and query guardrails.
• Manage relationships with product, finance, analytics, and engineering stakeholders within the Prime Video Advertising organization.
• Balance roadmap priorities, engineering capacity, technical dependencies, and business requirements during platform evolution and transition activities.
• Align data platform investments with broader business priorities and communicate technical strategy clearly to senior leadership.
• Promote engineering excellence, ownership, operational discipline, and continuous improvement across the team.
• Build a strong environment where engineers can develop their technical capabilities and progress in their careers.

Required Skills

Strong data engineering experience is essential for this role. Candidates should understand data modeling, data warehousing, ETL pipeline development, SQL, and the design of data platforms that can support business reporting and analytics at scale.

The position also requires prior experience managing a data engineering or business intelligence team. Candidates should have demonstrated leadership in setting data or BI strategy and influencing technical direction across a team or organization.

Programming experience in at least one modern language is required. The job description identifies Python, Java, Scala, and NodeJS as examples. Strong engineering judgment, architecture skills, and the ability to translate business requirements into scalable technical solutions are important for success.

Preferred Skills

Experience with large-scale data technologies can strengthen an application. Preferred technologies include Hadoop, Hive, Spark, and EMR. Experience with AWS services such as Redshift, S3, and EC2 is also desirable.

Candidates who have worked across both data engineering and software engineering environments may be particularly well suited to this position because the team combines data platform responsibilities with software and GenAI development.

Education

The provided job description does not specify a formal educational qualification. Relevant professional experience in data engineering, software engineering, data strategy, and people management is the primary qualification described.

Experience

A minimum of 7 years of data engineering experience is required. Candidates should also have experience with data modeling, warehousing, ETL pipelines, and SQL, along with experience managing a data or BI team.

Leadership experience is a central requirement. Applicants should be able to demonstrate experience developing engineering talent, hiring engineers, supporting career progression, and influencing technical or data strategy. The ability to lead multidisciplinary teams is especially relevant because the role covers both Data Engineering and Software Development Engineering.

Required Technologies

• SQL
• Python
• Java
• Scala
• NodeJS
• Data Modeling
• Data Warehousing
• ETL
• Data Pipelines
• Data Lakes
• Big Data
• GenAI
• Hadoop
• Hive
• Spark
• EMR
• AWS
• Amazon Redshift
• Amazon S3
• Amazon EC2

Soft Skills

This position requires strong people leadership and communication skills. The successful candidate should be able to hire and develop engineers, provide meaningful technical guidance, manage performance, and support long-term career growth.

Stakeholder management is equally important. The manager will work with product, finance, engineering, and senior leadership teams, so the ability to explain architectural choices, delivery risks, priorities, and technical trade-offs in a clear manner is essential.

A strong sense of ownership, collaborative leadership, structured problem-solving, and a focus on operational excellence are important for managing a platform with business-critical responsibilities.

Benefits of Working in this Role

This role provides an opportunity to lead data engineering and software engineering work supporting Prime Video Advertising. The team works on data platforms, reporting, dashboards, measurement, and analytical solutions that contribute to the growth of a global video advertising business.

The position also combines established data engineering practices with emerging GenAI and software capabilities. This gives an experienced engineering manager the opportunity to shape both the current platform and its future technical direction while building and developing a multidisciplinary engineering organization.

Work Mode

The provided job description does not specify whether the role is onsite, hybrid, or remote. The work model should be confirmed with Amazon during the application or recruitment process.

Location

The position is listed under ADCI - Karnataka, India. The job description does not provide a specific city, so candidates should verify the exact office location and applicable work arrangement with Amazon before applying.

Who Should Apply

This opportunity is intended for experienced data engineering leaders who have progressed beyond individual technical contribution into team management and organizational influence. It is a strong fit for professionals with 7 or more years of data engineering experience who have managed data or BI teams and understand modern data platforms.

Candidates with experience building ETL pipelines, data warehouses, data lakes, large-scale analytics platforms, or AWS-based data solutions should consider applying. Experience with Hadoop, Hive, Spark, EMR, Redshift, S3, or EC2 can further strengthen an application.

Career Growth

The role offers broad leadership exposure across data engineering, software development, GenAI enablement, architecture, stakeholder management, and engineering talent development. Managing both Data Engineers and Software Development Engineers can help expand leadership experience across multiple technical disciplines.

The opportunity also involves communicating technical strategy to senior leadership and influencing platform direction, providing valuable experience for professionals progressing toward larger engineering management and technical leadership responsibilities.

Application Advice

Tailor your resume to emphasize measurable leadership and engineering outcomes. Highlight the size and scope of teams you have managed, engineers you have hired or developed, and examples where you influenced data or BI strategy.

Clearly describe your experience with data modeling, warehousing, ETL pipelines, SQL, data lakes, and programming languages. If you have worked with Hadoop, Hive, Spark, EMR, Redshift, S3, or EC2, include those technologies prominently. Also mention examples of improving platform reliability, delivery, operational processes, or engineering team effectiveness.

For leadership-focused applications, explain how you have handled architecture decisions, stakeholder alignment, technical trade-offs, hiring, mentoring, and career development. Demonstrating both technical depth and people leadership will be important for this Manager role.