About The Company Quantiphi is a leading AI and Data Science company dedicated to transforming businesses through innovative data-driven solutions. With a focus on leveraging advanced analytics, machine learning, and cloud technologies, Quantiphi helps organizations unlock their full potential by delivering scalable, secure, and high-impact digital transformations.

Our team of passionate professionals collaborates closely with clients across various industries to develop customized solutions that address complex business challenges and foster sustainable growth. Committed to excellence and continuous innovation, Quantiphi prides itself on fostering a dynamic and inclusive work environment that encourages career development and technical mastery.

About The Role As an Associate Technical Architect - Data at Quantiphi, you will play a pivotal role in shaping and executing enterprise-scale data platform strategies on AWS. Your expertise will drive the design, architecture, and deployment of state-of-the-art Lakehouse solutions and Data Lakes that support our clients' business objectives.

You will serve as a technical leader, guiding cross-functional teams through the entire project lifecycle—from initial solution architecture and technology selection to implementation, optimization, and ongoing support. This role demands a combination of deep hands-on technical skills, strategic thinking, and leadership capabilities to deliver scalable, secure, and high-performance data ecosystems. Collaboration with business stakeholders and technical teams will be essential to ensure solutions meet both operational and strategic needs, aligning with best practices in cloud data architecture and engineering.

Qualifications The ideal candidate will possess a robust background in cloud data engineering, with a minimum of 8 years of experience in designing and implementing enterprise data solutions on AWS. AWS certification such as Solution Architect Associate/Professional or Data Engineer is preferred.





Candidates should have proven expertise in building Data Lakes, Lakehouses, and Data Warehouses, with hands-on experience in modern data engineering tools and technologies. Strong knowledge of SQL, Spark/PySpark, and Python is essential, along with experience working with Apache Iceberg for Lakehouse architectures. Familiarity with AWS services such as S3, EMR, Athena, Glue, Aurora PostgreSQL, Lambda, and others is required.

Candidates should demonstrate excellent problem-solving skills, leadership qualities, and the ability to mentor engineering teams and communicate complex technical concepts effectively. A background in data modeling, distributed data processing, and cloud architecture principles is also important for success in this role.

Responsibilities Design and lead the development of scalable enterprise data platforms on AWS, including Data Lakes, Lakehouses, and Data Warehouses, ensuring they meet performance, security, and compliance standards.

Architect and implement modern data pipelines for batch and streaming data processing using AWS native services such as EMR, Glue, Lambda, S3, and Athena, optimizing for performance and cost efficiency.

Provide technical leadership and mentorship to engineering teams, conducting code reviews, architecture reviews, and fostering best practices in cloud data engineering.

Collaborate with business stakeholders to understand data requirements, translating them into scalable technical solutions that align with strategic objectives.

Implement and optimize Lakehouse architectures utilizing Apache Iceberg, ensuring high data quality, consistency,



and accessibility.

Design and implement orchestration workflows using tools such as Apache Airflow or AWS Step Functions to automate and streamline data processes.

Ensure data security, governance, and compliance by implementing robust IAM policies, encryption, and metadata management strategies.

Evaluate emerging technologies and industry trends, recommending innovative solutions to enhance data platform capabilities.

Monitor system performance, troubleshoot issues, and perform tuning to optimize data pipeline throughput and reliability.

Document architecture, design decisions, and operational procedures to facilitate knowledge sharing and continuous improvement.

Benefits Quantiphi offers a competitive salary package commensurate with experience, along with comprehensive health insurance plans, including medical, dental, and vision coverage. Employees enjoy a flexible work environment that promotes work-life balance, with options for remote work and flexible hours.

We provide opportunities for continuous learning and professional development through training programs, certifications, and industry conferences. Our inclusive culture encourages collaboration, innovation, and diversity, fostering a vibrant workplace where every individual’s contribution is valued. Additionally, employees benefit from performance-based incentives, wellness programs, and a range of employee engagement activities designed to promote personal and professional growth.

Equal Opportunity

Quantiphi is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe diversity drives innovation and excellence, and we are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their best.

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