Associate Technical Architect - Data

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**!*