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Senior Architect - Data
Quantiphi
Bengaluru, IND
Full-time
Senior · 10+ years experience
Onsite
Discovered 3 weeks ago
AWSData EngineeringCloud Data WarehousesData Lakes
Free
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AWSData EngineeringCloud Data Warehouses
Key Skills for This Role
AWSData EngineeringCloud Data WarehousesData Lakes
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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.
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