AWS Data Architect

Adfolks LLC; Ernakulam; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

A leading technology firm is seeking a Senior Data Architect to lead enterprise data and analytics strategy on AWS. This role involves designing scalable data platforms and driving multi-cloud data architecture. The ideal candidate will have over 10 years of experience, expertise in AWS data services, and strong skills in data modeling and integration. Certifications in AWS and Azure are mandatory.

Qualifications

• 10+ years in data architecture / engineering, 5+ years on cloud platforms (AWS).
• Expertise with AWS data stack (S3, Glue, Redshift, Athena, EMR, Kinesis, Lake Formation).
• Hands-on Python, PySpark, SQL & distributed systems (Spark, Kafka).

Responsibilities

• Define & lead enterprise data architecture and cloud data strategy (AWS-focused).
• Design scalable data lakes, lakehouse, DWH, streaming & analytics platforms.
• Mentor data engineering & data science teams; ensure architectural best practices.

Skills

Data architecture

Cloud platforms (AWS)

Data modeling

Python

ML platforms

Multi-cloud experience

Education

AWS Certified Data Analytics Specialty

AWS Certified Machine Learning Specialty

Azure Data Engineer Associate (DP-203)

Tools

AWS S3

AWS Glue

AWS Redshift

AWS EMR

AWS Kinesis

Job description

Role Overview: We are looking for a highly experienced Senior Data Architect to lead enterprise data and analytics strategy on AWS. This role will design and deliver scalable data platforms, data pipelines, and ML systems, while driving multi-cloud data architecture, governance, and technical leadership across teams.

Key Responsibilities

• Define & lead enterprise data architecture and cloud data strategy (AWS-focused).
• Design scalable data lakes, lakehouse, DWH, streaming & analytics platforms.
• Architect & optimize AWS-based ETL/ELT, ML, and real-time data pipelines.
• Lead multi-cloud (AWS + Azure) and hybrid data integration initiatives.
• Implement data governance, security, quality, metadata & lineage frameworks.
• Mentor data engineering & data science teams; ensure architectural best practices.

Required Skills

• 10+ years in data architecture / engineering, 5+ years on cloud platforms (AWS).
• Expertise with AWS data stack (S3, Glue, Redshift, Athena, EMR, Kinesis, Lake Formation).
• Strong data modeling (dimensional, Data Vault, lakehouse).
• Hands-on Python, PySpark, SQL & distributed systems (Spark, Kafka).
• ML platform experience (SageMaker, MLOps, pipelines & deployment).
• Multi-cloud experience (AWS + Azure) with data migration & modernization.

Certifications (Mandatory)

• AWS Certified Data Analytics Specialty
• AWS Certified Machine Learning Specialty
• Azure Data Engineer Associate (DP-203)

Nice to Have

• Additional AWS certifications (SA Pro / DevOps Pro)
• Azure DP-100, Databricks, Terraform / CloudFormation experience
• Experience with data mesh, data fabric, governance platforms (Alation/Collibra)