Senior Business Architect leading the design, development and execution of business architecture frameworks across VOIS domains. Shaping VOIS’ strategic direction and enabling enterprise transformation.
About the role
- Senior Architect leading AWS migration and modernization strategy for enterprise solutions. Driving implementation and data engineering projects at Quantiphi with a focus on innovation and scalability.
Responsibilities
- 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.
- Design and architect scalable and robust data solutions using AWS services.
- Ensure data architecture aligns with business requirements and best practices.
- 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.
- 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.
Requirements
- 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.
Benefits
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world
- Be a leader of an energetic team of highly dynamic and talented individuals
- Exposure to working with fortune 500 companies and innovative market disruptors
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
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