Associate Architect - Data (AWS + AtScale)
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Before you apply
LocationIN KA Bengaluru; IN MH Mumbai Eureka
Also inTrivandrum
Typefull-time
SenioritySenior
Experience5–13 yrs
Company size1,001–5,000 people
PostedApr 6, 2026 · 7mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
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
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
Skills
AWS
AtScale
Amazon S3
AWS Lake Formation
AWS Glue
AWS Lambda
Amazon EMR
AWS Kinesis
AWS Step Functions
Amazon MWAA
Amazon Redshift
Amazon Athena
Amazon RDS
PostgreSQL
MySQL
Aurora
AWS DMS
EventBridge
SNS
SQS
QuickSight
Tableau
Power BI
Python
PySpark
SQL
DynamoDB
MongoDB
DocumentDB
Terraform
CI/CD
Collibra
AWS IAM
Secrets Manager
CloudWatch
CloudTrail
KMS
GitHub Copilot
Amazon Kiro
About the company
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*!*