Support the design, development, and implementation of a scalable, reliable, and high-performance data platform, translating business needs into technical specifications.
Manage timelines, milestones, and deliverables to ensure successful project execution.
Data Mapping and Transformation:
Take full ownership of the data mapping process, a critical component for the success of data migration and integration within the transformation program.
Analysis of source systems to define data flows from domain systems into the new platform and data migration requirements from legacy systems.
Manage the creation, review, and sign-off of detailed Source-to-Target Mapping (STM) specifications, ensuring accuracy and completeness.
Collaborate closely with Data Engineers, Data Architects, and Business Analysts to define and implement complex data transformation logic and business rules.
Establish and execute a robust testing strategy to guarantee data quality, consistency, and integrity throughout the migration lifecycle.
Stakeholder and Vendor Collaboration:
Act as the primary technical point of contact for external vendors involved in the data platform build and data mapping activities.
Rigorously manage vendor performance, Statements of Work (SOWs), and deliverables to ensure alignment with project goals, timelines, and quality standards.
Delivery Leadership:
Provide technical leadership, to co-ordinate delivery outcomes with SI Partners, Country technology, and other stake holders.
Champion best practices in data governance, quality, and security.
Foster a culture of excellence, collaboration, and innovation within the data delivery team, utilizing Agile/Scrum methodologies to maximize productivity.
RequirementsRequired
Bachelor's degree in computer science, Engineering, Information Systems, or a related field.
8+ years of hands-on experience in data integration, data warehousing, or data platform development.
3+ years of experience in a lead role, successfully delivering large-scale, complex data projects, particularly involving data migration and system integration.
Expertise in Data Mapping: Proven, extensive experience creating detailed source-to-target data mapping documents based on complex business requirements.
Cloud Platform Proficiency: Deep knowledge and practical experience with at least one major cloud platform: AWS (e.g., S3, Glue, Redshift), Azure (e.g., ADLS, Data Factory, Synapse), or GCP (e.g., Cloud Storage, Dataflow, BigQuery).
Modern Data Stack: Strong understanding of modern data warehousing technologies like Snowflake, BigQuery, or Redshift.
ETL/ELT Experience: Hands-on experience with data pipeline and orchestration tools such as dbt, Airflow, Talend, or Informatica.
Vendor Management: Demonstrated experience managing relationships, contracts, and performance of third-party technology vendors.
Communication Skills: Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.
Preferred
Professional certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Databricks Certifications).
Programming experience with Python or Advanced SQL for data processing.
Knowledge of data governance frameworks (e.g., DAMA-DMBOK).
Experience working in an Agile/Scrum environment, with Scrum Master experience being a plus.
Experience in Corporate / Commercial Banking or other Financial Services.
