Associate Technical Architect - Data

Quantiphi; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Quantiphi is seeking an Associate Technical Architect to lead the design, architecture and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will mentor engineering teams and collaborate with business stakeholders to deliver scalable, secure data solutions.

The role requires deep hands-on expertise in AWS data engineering, Spark/PySpark, Python, and Iceberg Lakehouse architectures, with strong architectural judgment and communication skills.

Qualifications

• 8+ years designing enterprise-scale Data Lake, Lakehouse, or Data Warehouse on AWS.
• Proven experience leading end-to-end cloud-native data platform implementations.
• Strong hands-on SQL, Spark/PySpark, and Python skills.
• Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS data services (EMR, S3, Athena, Glue, Aurora PostgreSQL, Lambda).

Responsibilities

• Lead end-to-end design and deployment of AWS data platforms and Lakehouse solutions.
• Mentor globally distributed engineering teams and conduct architecture reviews.
• Collaborate with stakeholders to deliver scalable, secure and high-performance data solutions.

Skills

Data Lake/Warehouse

AWS Data Platform

PySpark/Spark

SQL/Python

Iceberg Lakehouse

AWS Data Services

Data Pipelines

Spark Tuning

Data Modeling

Cloud Architecture

Tools

AWS EMR

S3

Job description

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.

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