Salary
≈ $33k – $77k per year (Estimated)
Location
In office (Lahore)
Seniority
Staff · 10+ years exp
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 10, 2026.
Overview
Company
Impact
Profile match
NorthBay Solutions is a cloud consulting company and AWS Premier Partner specialising in generative AI, machine learning, data analytics, cloud migration and managed cloud services, with its US headquarters in Andover, Massachusetts. It runs an onshore and offshore delivery model with large engineering teams in Lahore, Karachi and Islamabad and serves clients in the Middle East from Abu Dhabi, Dubai, Riyadh and Cairo. It hires .NET and DevOps engineers, Azure AI specialists, cyber and network security engineers and data governance and analytics specialists, many assigned to client projects in the UAE.
Employment Type:Full-Time | Permanent
Location:Pakistan (Lahore / Karachi / Islamabad) - Hybrid
Role Overview
We are looking for a Lead Data Engineerwith strong expertise in AWS and database technologies (Oracle PL/SQL, PostgreSQL PL/pgSQL, Amazon Redshift). The ideal candidate will lead the design, development, and optimization of scalable data platforms and drive enterprise-level data engineering initiatives.
Experience
10+ years of experience in Data Engineering, Data Warehousing, and Database Development
Primary Skills
AWS Data Engineering, Data Architecture, Data Warehousing, SQL Development
Technologies
Must Have: Redshift, Oracle PL/SQL, PostgreSQL PL/pgSQL
Nice to Have: AWS (S3, Lambda), SQL, ETL/ELT, Data Modeling, Query Optimization, Performance Tuning, Linux/Unix, Git, CI/CD
Key Responsibilities
- Lead the architecture and implementation of data pipelines and data warehouse solutions on AWS
- Design and optimize Amazon Redshift-based analytics platforms
- Develop and review complex PL/SQL and PL/pgSQL procedures, functions, and scripts
- Drive data migration and transformationacross Oracle, PostgreSQL, and Redshift environments
- Implement performance tuning strategiesincluding indexing, partitioning, and query optimization
- Establish best practices for data governance, security, and quality
- Collaborate with cross-functional teams to define and deliver data solutions
- Mentor engineers, conduct code reviews, and provide technical leadership
Key Requirements
- Strong hands-on experience with AWS data ecosystem (Redshift, Glue, S3, Lambda)
- Advanced expertise in Oracle PL/SQL and PostgreSQL (PL/pgSQL)
- Proven experience in enterprise-scale data warehouse architecture
- Strong understanding of ETL/ELT frameworks and pipeline design
- Expertise in performance tuning and large-scale data processing
Prior experience in technical leadership or mentoring roles
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