GCP Tech/Programme lead

Overview EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Website : http://www.exlservice.com

Job Title: Sr Data Engineeer/Programme Lead.

Technical Delivery Lead – Databricks and SAS Migration to Google Cloud Platform (GCP) using DBT

Location

Hybrid

Experience

12+ Years

Employment Type

Full-Time

---

Role Summary

We are seeking an experienced Programme 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.

Governance & Compliance

• Ensure compliance with banking regulatory requirements, GDPR, BCBS239, and internal governance policies.
• Establish audit-ready documentation and migration traceability.
• Manage architecture review boards and design approvals.
• Drive data governance and security best practices.

Quality Assurance & Testing

• Oversee SIT, UAT, reconciliation, and production validation activities.
• Ensure migrated outputs meet functional and non-functional requirements.
• Drive defect management and production readiness assessments.

Team Leadership

• Lead and mentor data architects, DBT developers, data engineers, QA teams, and business analysts.
• Support workforce planning, capability development, and delivery excellence initiatives.
• Foster a culture of collaboration, innovation, and continuous improvement.

---

Required Technical Skills

Cloud & Data Platforms

• Google Cloud Platform (GCP)
• BigQuery
• Cloud Storage
• Cloud Composer (Airflow)
• Dataproc
• Dataflow
• IAM and Cloud Monitoring

Data Engineering

• DBT (Data Build Tool)
• SQL
• Python
• PySpark
• Data Warehousing
• ETL/ELT Frameworks
• Data Migration Methodologies

SAS Technologies

• SAS Base
• SAS Enterprise Guide
• SAS DI Studio
• SAS Macros
• PROC SQL
• SAS Data Sets

Data Modeling

• Star Schema
• Snowflake Schema
• Data Vault
• Dimensional Modeling
• Source-to-Target Mapping

DevOps & Automation

• Git
• CI/CD Pipelines
• Azure DevOps / GitHub Actions
• Infrastructure as Code concepts

---

Required Experience

• 12+ years of IT experience with 5+ years in technical delivery leadership roles.
• Proven experience delivering large-scale data migration and modernization programs.
• Strong experience in SAS to Cloud migration initiatives.
• Experience leading multi-pod delivery teams (20+ resources).
• Hands-on experience with DBT and modern cloud data platforms.
• Experience in Banking, Financial Services, or Insurance domains.
• Strong understanding of regulatory and data governance requirements.

---

Preferred Qualifications

• Google Cloud Professional Data Engineer Certification.
• DBT Certification.
• PMP / PRINCE2 / Agile Certification.
• Experience with banking regulatory reporting and risk data platforms.
• Knowledge of BCBS239, IFRS9, AML, and GDPR frameworks.