Data Architect – AWS

NorthBay Solutions; Karachi Division; On-site; PKR 3,500,000 - 6,000,000; Full time

Job summary

A leading technology firm is seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. The ideal candidate will oversee the design of scalable data platforms, establish governance frameworks, and lead complex data transformation initiatives. Key skills include strong AWS knowledge, data modeling, and cross-functional leadership. This hybrid role is based in major cities like Lahore, Karachi, and Islamabad.

Qualifications

• 12+ years of experience in Data Engineering or Data Architecture.
• Extensive experience designing enterprise-scale data platforms on AWS.
• Strong command of data modeling techniques, including Star Schema, Snowflake Schema, and Data Vault.
• Experience leading large data engineering teams.
• Experience with Agile / SAFe delivery.

Responsibilities

• Define and own enterprise-wide data architecture strategy and roadmap.
• Architect scalable and high-performance data platforms on AWS.
• Establish best practices for scalability and performance tuning.
• Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks.
• Architect data warehousing solutions using Amazon Redshift.
• Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches).
• Define governance, cataloging, lineage, and access control frameworks using AWS DataZone.
• Lead architecture governance forums and conduct design reviews.
• Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization.
• Define security architecture aligned with enterprise compliance standards.
• Provide technical leadership and mentorship to Data Engineers and Technical Leads.
• Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals.
• Drive innovation and evaluation of emerging data technologies.

Skills

AWS Glue

Amazon EMR (Spark)

AWS Lambda

Apache Airflow (MWAA)

Amazon Redshift

Amazon S3

Amazon DynamoDB

AWS DataZone

Amazon CloudWatch

Python

SQL

Tools

AWS Glue

Amazon EMR (Spark)

AWS Lambda

Apache Airflow (MWAA)

Amazon Redshift

Amazon S3

Amazon DynamoDB

AWS DataZone

Amazon CloudWatch

Job description

Job Title: Data Architect – AWS

Experience: 12+ Years
Location: Hybrid – Lahore, Karachi, Islamabad
Employment Type: Full-Time

Position Overview

We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large‑scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long‑term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.

Key Responsibilities

• Define and own enterprise-wide data architecture strategy and roadmap
• Architect scalable, secure, high-performance batch and real-time data platforms on AWS
• Design modern data lake, data warehouse, and lakehouse architectures
• Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks
• Architect data warehousing solutions using Amazon Redshift
• Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)
• Define governance, cataloging, lineage, and access control frameworks using AWS DataZone
• Lead architecture governance forums and conduct design reviews
• Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization
• Define security architecture aligned with enterprise compliance standards
• Provide technical leadership and mentorship to Data Engineers and Technical Leads
• Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals
• Drive innovation and evaluation of emerging data technologies

Required Skills & Experience

• 12+ years of experience in Data Engineering / Data Architecture
• Extensive experience designing enterprise-scale data platforms on AWS
• Strong expertise in:
  • AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon Redshift
  • Amazon S3
  • Amazon DynamoDB
  • AWS DataZone
  • Amazon CloudWatch
• Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)
• Experience designing enterprise data lake, warehouse, and lakehouse ecosystems
• Strong knowledge of data governance, metadata management, and data security frameworks
• Advanced SQL and strong Python expertise
• Experience defining architecture principles, standards, and enterprise roadmaps
• Strong stakeholder management and cross-functional leadership skills
• Experience leading large data engineering teams
• Experience working in Agile / SAFe delivery models

Nice to Have

• AWS Certified Solutions Architect – Professional
• AWS Data Analytics Specialty Certification
• Experience with streaming technologies (Kinesis, Kafka)
• Exposure to multi-cloud or hybrid architectures
• Experience leading enterprise data transformation programs