Senior Architect

Experience: 10 to 14 years

Location: Mumbai, Maharashtra, India

Skills: AWS, Data Engineering, AI, Data Analytics, Cloud Solutions, Data Lakes, Cloud Data Warehouses, Master Data Management, Data Models, Data Quality Assessments, Data Infrastructure, Automation, Data Processing, Data Integration

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, adaptable, 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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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