Senior AWS Data Architect for Enterprise Data Lakehouse

NorthBay Solutions LLC; Islamabad; Hybrid; PKR 1,674,000 - 2,232,000; Full time

Job summary

A leading technology solutions provider is seeking a Data Architect with over 12 years of experience to lead data architecture strategy on AWS. This hybrid role involves designing scalable data platforms, establishing architectural standards, and mentoring a team of data engineers. The ideal candidate will have strong expertise in AWS services like Redshift, Glue, and data modeling techniques, as well as leadership skills for managing enterprise data transformation initiatives.

Qualifications

• 12+ years of experience in Data Engineering / Data Architecture.
• Extensive experience designing enterprise-scale data platforms on AWS.
• Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault).
• Experience defining architecture principles, standards, and enterprise roadmaps.
• Experience working in Agile / SAFe delivery models.

Responsibilities

• Define and own enterprise-wide data architecture strategy and roadmap.
• Architect scalable, secure, high-performance data platforms on AWS.
• Establish best practices for scalability, performance tuning, and cost optimization.
• Lead architecture governance forums and conduct design reviews.
• Provide technical leadership and mentorship to Data Engineers and Technical Leads.

Skills

Data Engineering

Data Architecture

AWS Glue

Amazon EMR (Spark)

AWS Lambda

Apache Airflow (MWAA)

Amazon Redshift

Advanced SQL

Python

Data Modeling Techniques

Tools

AWS DataZone

Amazon S3

Amazon DynamoDB

Amazon CloudWatch

Job description

A leading technology solutions provider is seeking a Data Architect with over 12 years of experience to lead data architecture strategy on AWS. This hybrid role involves designing scalable data platforms, establishing architectural standards, and mentoring a team of data engineers. The ideal candidate will have strong expertise in AWS services like Redshift, Glue, and data modeling techniques, as well as leadership skills for managing enterprise data transformation initiatives.