Associate Technical Architect

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!

Job Role : Associate Technical Architect

Experience : 7-12

Location : Mumbai/Bangalore

Role Overview:

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle - from solution architecture and technology selection to implementation, optimization, deployment, and production support. The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions. 

Must have Skills:

8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.

• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.

• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.

• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.

• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.

• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.

• Strong expertise in Spark/PySpark performance tuning and optimization.

• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.

• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.

• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.

• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.

• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.

• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.

• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.

• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to have skills:

• Experience with ClickHouse, including performance tuning and query optimization.

• Experience with Infrastructure as Code using Terraform or CloudFormation.

• Experience implementing CI/CD pipelines for data engineering workloads.

• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.

• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.

• Experience integrating with data governance and metadata management tools such as Collibra.

• Experience integrating with data virtualization platforms such as Denodo.

• Telecom/Mobile Network domain knowledge is preferred but not mandatory.