Associate Architect - Data (AWS + AtScale)

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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