AWS Data Engineering Practice Lead

Job Summary

Role : AWS Data Architect- Leadership

Experience : 15 - 22 Years

We are seeking a highly skilled and experienced Technical Leader for our AWS Data Engineering practice. The ideal candidate will be responsible for driving Data Engineering strategy for the practice, architecting scalable enterprise level data solutions and driving the implementation of data projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices.

In this role, you will be responsible for establishing and enhancing the company's Data Engineering Services Practice. You will work closely with senior stakeholders to understand business needs and deliver technical solutions. The role is well-suited for a technically proficient individual looking to thrive in a dynamic and fast-paced environment.

Responsibilities :

Technical Leadership :

• Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements.
• Conduct proof-of-concept projects to explore strategic opportunities and future-oriented data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.
• Make informed architectural decisions with the customer's needs and priorities at the forefront.
• Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality.
• Collaborate closely with the sales / pre-sales / solution team to develop proposals and strategies that align with and meet the company's performance objectives.
• Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice.
• Design and implement data lakes, cloud data warehouses, master data management solutions, data models, and data quality assessments as part of the data engineering scope.
• Lead the development and management of data infrastructure, including tools, dashboards, queries, reports, and scripts, ensuring automation of recurring tasks while maintaining data quality and integrity

Architecture and Design :

Project Implementation :

Technical Innovation :

What is Required :

What’s in it for you?

The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.

The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.

The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. Flexible working options available to foster productivity and work / life balance.