About this role
Role Summary
We are seeking an experienced Technical Delivery Lead to lead a large-scale transformation program involving the migration of SAS-based data platforms, ETL processes, reporting solutions, and analytical workloads to Google Cloud Platform (GCP) using DBT. The role requires strong leadership, data engineering expertise, stakeholder management skills, and hands-on experience in cloud-based data modernization initiatives.
The candidate will be responsible for end-to-end delivery, technical governance, migration strategy, architectural oversight, and successful execution of multiple workstreams across business and technology teams.
Key Responsibilities
Program Delivery
• Lead end-to-end delivery of SAS to GCP migration programs. • Define migration roadmap, delivery approach, and execution strategy. • Manage scope, schedule, budget, risks, dependencies, and resource allocation. • Ensure timely delivery of migration milestones and business objectives. • Drive Agile delivery and release management processes.
Technical Leadership
• Provide technical direction for migration from SAS datasets, SAS ETL, SAS macros, and reporting solutions. • Review and approve solution architectures, data models, and transformation designs. • Establish migration standards, coding standards, and best practices. • Guide teams on cloud-native architecture and modernization opportunities.
Data Engineering Oversight
• Oversee development of data pipelines using GCP services and DBT. • Ensure scalable, secure, and high-performing data solutions. • Lead design reviews for data ingestion, transformation, orchestration, and reporting layers. • Drive implementation of data quality, lineage, and reconciliation frameworks.
Stakeholder Management
• Act as the primary technical point of contact for business and technology stakeholders. • Collaborate with architecture, regulatory, risk, compliance, and operational teams. • Present project status, risks, and technical recommendations to senior leadership. • Manage vendor and third-party engagements.
Bachelor's or Master's degree in Data Science, Computer Science, or related field. 8-12 years of experience in data engineering or related field.