Key Responsibilities:

Technical Leadership & Architecture:

- Lead the technical vision and architecture for the data catalog platform

- Design and implement scalable solutions for enterprise-wide Data Governance and metadata management

- Customize and enhance the existing 3rd party catalog tool to meet specific requirements

- Establish technical standards, best practices and drive automation initiatives for data catalog and lineage tracking

- Become the subject matter expert for the data catalog platform - platform customization, integration with systems including cloud platforms

Team Leadership & Development:

- Guide and mentor team members in technical implementation and best practices

- Assist in expanding the platform usage across group entities.

- Lead platform enhancement initiatives from conception to delivery

- Foster a culture of innovation and continuous improvement

Platform Modernization:

- Develop and execute strategy for platform modernization

- Design and implement API-first approaches for improved accessibility of data catalog/lineage features

- Create automated promotion processes for efficient deployment

- Optimize platform performance and administration

Stakeholder Management:

- Partner with CDO office to align platform capabilities with Data governance and metadata management requirements

- Work closely with internal clients for successful platform onboarding

- Provide technical consultation to business teams on platform usage

Qualifications:

Technical Experience:

- 12+ years of experience in technology, with at least 5 years in data platform development

- Strong experience with data catalog tools and metadata management platforms

- Proven expertise in data lineage implementation and automation

- Deep understanding of data governance frameworks and best practices

- Experience with API development and integration

- Strong programming skills in languages like Python, Java, or similar

- Knowledge of data modelling and database management systems

- Experience with Messaging Systems such as Kafka, Solace, Pulsar

- Experience with cloud platforms (AWS, Azure, or GCP)

- Understanding of core AWS services, and AWS architecture best practices

- Proficiency in developing, deploying, and debugging cloud-based applications using AWS

- Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications

- Ability to use a CI/CD pipeline to deploy applications

- Excellent written and oral communication skills along with the ability to present clear and concise solutions to stakeholders and IT partners.

- Ability to work and communicate with both business and technical experts

- College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree

Preferred Skills:

- Experience with specific data catalog tools (like Collibra, Alation, Atlan or similar)

- Financial industry certifications

- Experience with data quality management tools

- Knowledge of machine learning and AI applications in data management

- Passionate about data and analytics, analytical mind with a problem-solving aptitude

- Visualization tools like Power BI, Tableau