Role Overview:
The Wholesale Credit Risk team is seeking an Director of Software Engineering to lead the strategic transformation of our legacy and fragmented data landscape, enabling advanced analytics and data-driven decision-making across the organization. In this position, you will lead and inspire a team of data engineers to modernize large-scale Oracle databases, on-premises big data platforms, and complex data sources. Leveraging your strategic vision and hands-on technical expertise, you will architect robust data models and pipelines, optimize data sourcing strategies, and deliver solutions that support both transactional (OLTP) and analytical (OLAP) workloads, ensuring seamless data accessibility for a wide range of business needs. You will address challenges related to data duplication, quality, modeling, and ownership, and deliver innovative, scalable, and secure data solutions through close collaboration with data engineers, software teams, data scientists, quants, product owners, and senior stakeholders.
Key Responsibilities:
- Architect and implement modern, scalable data solutions across hybrid cloud and on-prem environments, addressing both OLTP and OLAP requirements.
- Set high standards for data engineering practices, including data modeling, ETL/ELT, data quality, governance, and metadata management. Directly contribute to solution design and development.
- Oversee, mentor, and develop data engineering team, ensuring alignment with business objectives and technology strategy.
- Drive initiatives to consolidate, de-duplicate, and migrate legacy Oracle databases and big data platforms to modern, cloud-based data platforms.
- Champion best practices in data engineering, security, risk management, regulatory compliance, and automation.
- Present data strategies, architecture decisions, and project updates to senior stakeholders. Collaborate cross-functionally with software engineering, analytics, and business teams.
- Balance urgent operational needs with long-term strategic goals, prioritizing initiatives for maximum business impact.
- Foster a culture of collaboration, integrity, innovation, and continuous improvement within the data engineering organization
Required Skills & Experience:
- 10+ years in data engineering, with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
- Deep expertise in data modeling, database design, big data technologies, cloud data platforms (AWS, Azure, GCP), and modern data tools (e.g., Snowflake, Databricks, Airflow).
- Strong experience architecting and optimizing transactional and analytical data systems.
- Mastery of ETL/ELT pipelines, data migration, data quality frameworks, data governance, and metadata management.
- Proficiency in data modeling & engineering tools and prefer to have working experience of enterprise-grade languages (e.g., Python)
- Solid background in data security, risk management, and regulatory compliance.
- Demonstrated ability to lead, mentor, and inspire data engineering teams, including cross-functional and global teams.
- Excellent interpersonal, presentation, and stakeholder management skills.
Attitude & Behavioral Traits:
- Action-oriented, decisive, drives results systematically.
- Skilled at assessing risk and making decisions with a holistic, big-picture perspective.
- Demonstrates a can-do attitude and leads by example.
- Detail-oriented, able to distinguish between important and urgent tasks.
- Prioritizes helpfulness, mentorship, and team development.
- Acts with integrity.
