Senior Architect - Data

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role : Senior Architect
Experience : 10 - 14 Years +
Work location : Mumbai

We are seeking a highly skilled and experienced Technical Leader for our Migration and Modernization practice. The ideal candidate will be responsible for driving large migration and modernization strategy for the practice, architecting scalable enterprise level solutions and driving the implementation of 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 contributing and enhancing to the Migration and Modernization Practice and your responsibilities involve working closely with potential customers to understand their business needs and requirements to design and propose migration proposals that leverage AWS cloud services.

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

● Design and architect scalable and robust data solutions using AWS services.
● Ensure data architecture aligns with business requirements and best practices.
● Evaluate and select appropriate AWS services for data storage, processing, and analytics.

Project Implementation
● Oversee the implementation of data engineering projects from inception to completion.
● Engage in strategic discussions with customers and offer thought leadership to guide their decisions.
● Ensure data quality, integrity, and security throughout the data lifecycle.
Technical Innovation:
● Stay updated with the latest trends and advancements in data engineering and AWS technologies.
● Drive continuous improvement initiatives to enhance data engineering practices and processes.
● Experiment with new tools and technologies to improve data processing efficiency and effectiveness.

Must Have :

Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech /M.Tech)
● At least 10+ end-to-end implementations of large-scale data projects
● Deep expertise in AWS services and Data Engineering field, with experience working with leading large scale enterprises migration.
● Proven track record in selling, delivering, and managing AI, data analytics, and AWS cloud solutions across North America and EU region
● Extensive experience with a variety of projects, including on-premises to AWS
● migration,modernization, greenfield implementations and cloud-to-cloud
migrations.
● Strong understanding of AWS architecture and best practices for data engineering.
● Exceptional executive-level engagement skills with the ability to build and maintain trusted relationships.

What’s in it for you?
1. Be part of the fastest-growing AI-first digital transformation and engineering
company in the world
2. Be a leader of an energetic team of highly dynamic and talented individuals
3. Exposure to working with fortune 500 companies and innovative market disruptors
4. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud