Associate Architect - Data (AWS + AtScale)

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! Role : Associate Architect - Data (AWS + AtScale) Experience : 5 - 13 Years Location : Mumbai/Bangalore/Trivandrum Must Have Skills • 5+ years of experience in designing and implementing data warehouses and data lakes/lakehouse on AWS. • Hands-on experience with AtScale or similar semantic layer tools to enable governed, business-friendly data access across BI platforms. • Proven success working with globally distributed teams in collaborative delivery environments. • Deep working knowledge across key AWS Data & Analytics services, including: • Building large-scale data lake architectures on Amazon S3 and open table formats • Implementing governance and cataloging through AWS Lake Formation. • Developing ETL and metadata frameworks using AWS Glue. • Leveraging AWS Lambda for serverless data processing. • Running distributed data workloads on Amazon EMR. • Enabling real-time data pipelines with AWS Kinesis (Data Streams and Firehose). • Orchestrating pipelines using AWS Step Functions/Amazon MWAA/similar services. • Designing and optimizing schemas and query performance on Amazon Redshift, including Spectrum and Serverless features. • Querying large datasets interactively using Amazon Athena. • Managing operational databases using Amazon RDS across engines such as PostgreSQL, MySQL, and Aurora. • Integrating and migrating data using AWS DMS, Glue Connectors, EventBridge, SNS, and SQS. • Strong understanding of semantic modeling, including logical data models, virtual cubes, and centralized metric definitions (single source of truth). • Experience optimizing performance using query pushdown, caching, and aggregate awareness over platforms like Redshift and Athena. • Ability to integrate semantic layers with BI tools (QuickSight, Tableau, Power BI) and enforce row/column-level security aligned with governance frameworks. • Strong programming capability in Python and PySpark for large-scale data processing. • Proficiency in writing complex SQL queries, analytical functions, and performance tuning for large datasets. • Familiarity with NoSQL databases such as Amazon DynamoDB, MongoDB, or DocumentDB. • Strong understanding of partitioning, indexing, scaling approaches, and query optimization techniques. • Proven experience in architecting and implementing data pipelines using native AWS services in a modular and resilient manner. • Solid understanding of data modeling concepts, including dimensional, normalized, and lakehouse patterns. • Solution Architect- Associate or Data Engineer- Associate Certification. Good To Have Skills • Experience of working for customers/workloads in one of FSI,Retail,CPG domain. • Exposure to IaC tools like Terraform and to CI/CD tools • Familiarity with data virtualization (e.g., Amazon QuickSight,PowerBI, Tableau) and data governance tools (e.g., Collibra). • Managing security, monitoring, and compliance with AWS IAM, Secrets Manager, CloudWatch, CloudTrail, and KMS. • Experience with AI-assisted development tools such as GitHub Copilot, Amazon Kiro (or similar GenAI IDEs) for improving developer productivity, code generation, and pipeline acceleration • Exposure to Data Mesh architecture,Data Governance frameworks If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !