Solution Architect - AWS / Snowflake

Human Development & Research Foundation

Mumbai, Delhi, Bengaluru

Hybrid

INR 4,000,000 - 7,000,000

Full time

4 days ago
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Job summary

Human Development & Research Foundation in Mumbai and other major Indian cities seeks a Senior Data Architect to own end-to-end data architecture on AWS and Snowflake, setting standards and guiding a team to deliver a scalable, secure data platform.

You will define data models (dimensional, data vault, medallion), architect batch and near-real-time pipelines, and lead performance optimization while ensuring governance and security across the platform.

Qualifications

  • Minimum 12+ years in data engineering and architecture.

Responsibilities

  • Design scalable, secure data platform architectures on AWS and Snowflake.
  • Define data models (dimensional, data vault, medallion) and DBT project structure.
  • Architect batch and near-real-time data pipelines, including source integration and orchestration.
  • Lead performance optimization: warehouse sizing, clustering, query tuning, cost management.
  • Define data governance, security, and access control patterns (RBAC, masking, row-level security).
  • Review designs and code, mentor engineers, and resolve blockers.
  • Partner with business stakeholders to translate requirements into technical solutions.
  • Produce architecture documentation, design decisions, and reference patterns.

Skills

Data governance
End-to-end data architecture
Performance optimization
Mentor engineers
Stakeholder collaboration

Tools

AWS
Snowflake
DBT
SQL
Python
Airflow
Terraform
CI/CD

Job description

Job Summary

Own the end-to-end data architecture on AWS and Snowflake, set technical standards, and guide the team in delivering a scalable, secure, and cost-efficient data platform.

Responsibilities
  • Design scalable, secure data platform architectures on AWS and Snowflake, covering ingestion, storage, transformation, and consumption layers
  • Define data models (dimensional, data vault, medallion) and DBT project structure, naming conventions, and coding standards
  • Architect batch and near-real-time data pipelines, including source integration, orchestration, error handling, and recovery
  • Lead performance optimization: warehouse sizing, clustering, query tuning, materialization strategy, and cost monitoring
  • Define data governance, security, and access control patterns (RBAC, masking, row-level security, encryption)
  • Review designs and code, mentor engineers, and resolve technical blockers
  • Partner with business stakeholders, product owners, and delivery leads to translate requirements into technical solutions
  • Produce architecture documentation, design decisions, and reference patterns
Ideal Candidate
  • Strong Solution Architect Profile with AWS/Snowflake background and end-to-end data architecture experience
  • Mandatory (Experience 1): Must have minimum 12+ years of experience in data engineering and architecture
  • Mandatory (Experience 2): Must have experience designing scalable, secure data platform architectures covering ingestion, storage, transformation, and consumption layers
  • Mandatory (Experience 3): Must have experience defining data models (dimensional, data vault, medallion) and architecting batch/near-real-time data pipelines
  • Mandatory (Tech skill 1): Must have hands‑on AWS (S3, IAM, Glue, Lambda, Kinesis/MSK, Step Functions, CloudWatch)
  • Mandatory (Tech skill 2): Must have hands‑on Snowflake (architecture, RBAC, Snowpipe, Streams, performance tuning, cost management)
  • Mandatory (Tech skill 3): Must have hands‑on DBT (Core/Cloud), SQL, and Python
  • Mandatory (Tech skill 4): Must have experience with Airflow (or equivalent), Terraform, and CI/CD for data platforms
  • Mandatory (Skill 1): Must be able to define data governance, security, and access control patterns (RBAC, masking, row-level security)
  • Mandatory (Skill 2): Must be able to lead performance optimization, mentor engineers, and partner with business stakeholders
  • Preferred (Certification): SnowPro Advanced certification (Architect)
  • Preferred (Experience 1): Experience with Data catalog and lineage tools (Collibra, Alation) and Snowflake Cortex
Location -

Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,All India ,Hybrid working

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