Experience: 12+ Years
Location: Hybrid – Lahore, Karachi, Islamabad
Employment Type: Full-Time
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
- 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
- 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
What We Do
NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai. Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.
