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Data & AI Solution Architect (AWS)

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Hybrid

Data & AI Solution Architect (AWS)

Impelsys

Data & AI Solution Architect (AWS)

Skills

Google Cloud PlatformSQL QueriesPythonAmazon RedshiftAIAWSdbtApache AirflowAzure

15 days ago

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Important information


Contract type:

Permanent

Location:

Bagalur, Karnataka 562122, India

Work mode:

Hybrid

Published on:

6 October 2026

What they need


Data & AI Solution Architect (AWS)

About Us

We are growing our Data & AI practice, which delivers cloud data platforms, data modernisation and migration, analytics and AI-enabled engineering for global enterprise clients. You will work in cross-functional teams on long-term engagements, using modern cloud technologies and AI-assisted engineering practices. Location: Offshore (India) • Full-time.

Role Summary

Designs cloud data and AI solutions end to end architecture, data models, governance and cost – and acts as the technical authority for clients and delivery teams.

Experience

Level

Total experience

Relevant experience (must)

Solution Architect

14+ years

6+ years designing data platforms on AWS; 3+ years with lakehouse / modern data stack

Roles & Responsibilities

  • Define target architectures for data platforms, lakehouses and data products
  • Design data models, data contracts and integration patterns
  • Set data governance: catalog, lineage, access control, privacy and data quality
  • Plan migration and modernisation approaches for legacy data platforms
  • Own non-functional design: performance, security, resilience and cost (FinOps)
  • Lead design reviews; guide engineering standards and AI-assisted development
  • Support pre-sales: solution proposals, estimates and client presentations

Mandatory Skills

  • AWS data services: S3, Glue, Athena, EMR, Redshift, Lake Formation, IAM
  • Lakehouse and open table formats (Apache Iceberg, Delta or Hudi)
  • Data modelling (dimensional, customer / event data, data vault)
  • Data governance and privacy (GDPR, PII)
  • Strong SQL; working knowledge of Python / Spark
  • Architecture leadership with client stakeholders

Nice to Have

  • Customer data platforms (CDP), identity resolution or MDM
  • dbt, Apache Airflow
  • GenAI / agentic solutions on Amazon Bedrock
  • Azure or GCP data services
  • TOGAF

Also Expected

Clear communication with remote client stakeholders across time zones; Comfortable using AI coding and productivity tools, and reviewing AI-generated work critically; Agile ways of working; ownership and accountability. Certifications: AWS Certified Solutions Architect – Professional (preferred).

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