Associate Technical Architect - Data

quantiphi analytics private

📍 indiana ka bengaluru indiana mh mumbai eureka india🕐 5d ago🔗 workday

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__!_
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