Aws Architect

SAPPHIREINFOTECH; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

SAPPHIREINFOTECH in Mumbai seeks an AWS Data Lake Architect to design, build, and manage enterprise-grade data storage and analytics platforms on AWS. The role centers on scalable lakehouse architectures and secure data pipelines, with collaboration across engineering and security teams.

Responsibilities include implementing governance, using Lake Formation, and leveraging S3, Glue, Redshift, and EMR to support business insights.

Qualifications

• 8–15+ years in data engineering or architecture, with several years focused on AWS cloud environments.

Responsibilities

• Architecture Design: Build scalable data lakes and lakehouse solutions using Amazon S3 with Bronze, Silver, and Gold data layers.
• Data Ingestion: Design secure and scalable pipelines to pull data from databases, APIs, and file systems.
• Transformation & Processing: Set up processing and orchestration tools like AWS Glue, Databricks, Amazon EMR, and AWS Lambda.
• Governance & Security: Implement data governance, security protocols, and access controls using AWS Lake Formation.
• Collaboration: Work with engineering, security teams, and business stakeholders to align data platforms with company goals.

Skills

Data architecture

AWS cloud

Data governance

Education

Bachelor's or Master's in CS/IT

Tools

Amazon S3

AWS Glue

Amazon Redshift

Databricks

Apache Spark

Delta Lake

AWS Lake Formation

AWS EMR

Kinesis

Job description

JD For AWS data lake architect

Exp: 4 to 8 years

Location: Mumbai Goregaon

An AWS Data Lake Architect designs, builds, and manages enterprise-grade data storage and analytics platforms on Amazon Web Services.

Key Responsibilities

• Architecture Design: Build scalable data lakes and lakehouse solutions using Amazon S3 with Bronze, Silver, and Gold data layers.


• Data Ingestion: Design secure and scalable pipelines to pull data from databases, APIs, and file systems.


• Transformation & Processing: Set up processing and orchestration tools like AWS Glue, Databricks, Amazon EMR, and AWS Lambda.


• Governance & Security: Implement data governance, security protocols, and access controls using AWS Lake Formation.


• Collaboration: Work with engineering, security teams, and business stakeholders to align data platforms with company goals.

Required Skills & Tools

• Core AWS Services: Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon EMR, and Kinesis.


• Frameworks: Databricks, Delta Lake, or Apache Spark.


• Experience: 8 to 15+ years in data engineering or architecture, with several years focused specifically on AWS cloud environments

Qualifications & Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.


• Professional certifications such as AWS Certified Solutions Architect or AWS Certified Data Analytics.