Technical Delivery Lead

EXL is recognized as a global leader in the fields of analytics, artificial intelligence, and digital solutions, catering to a diverse range of industries. As you may know, this company specializes in digital transformation and is publicly traded on NASDAQ under the ticker symbol EXLS. With a market valuation of approximately $1.3 billion, EXL boasts a workforce of over 48,000 employees spread across the globe. The company proudly serves more than 800 clients worldwide, demonstrating its extensive reach and influence in the market.

 

Job Title: Senior Data Engineer
Technical Delivery Lead – SAS Migration to Google Cloud Platform (GCP) using
DBT
Location
Hybrid/EXL Office
Experience
12+ Years
Employment Type
Full-Time

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.
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.