Data Modelling Specialist – Senior Python Developer

About Company: Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community. Diversity, Equity, and Inclusion: Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Job Description: We are seeking a Senior Python Developer specialising in data modelling and data governance to join our CDRR team. You will design and implement enterprise data models, Collibra metamodels, validation frameworks, and automation solutions supporting data governance, technology risk, cyber, fraud, compliance, and regulatory requirements. Key Responsibilities: Design and maintain enterprise asset models and governance structures in Collibra . Configure Collibra asset types, attributes, relationships, domains, communities, roles, responsibilities, and workflows. Develop reusable Python libraries and automation components using Pydantic for:Data schemas and validation Serialization and configuration management API-ready data models Metadata ingestion and governance workflows Build and integrate REST APIs using FastAPI , JSON, YAML, and SQL. Support data quality, lineage, reporting, traceability, and regulatory control solutions. Design scalable solutions for large financial, risk, cyber, fraud, and technology-risk data sets. Collaborate with data governance, architecture, technology, risk, compliance, and business stakeholders. Use AI-assisted development tools responsibly to improve coding, testing, documentation, and delivery quality. Follow modern engineering practices, including Git, code review, automated testing, documentation, and CI/CD. Required Experience: 10+ years of professional software development experience , including extensive Python development. Strong experience with Python, Pydantic, FastAPI, REST APIs, JSON, YAML, and SQL . Hands-on experience with Collibra or a similar data governance or metadata management platform . Proven experience in data modelling, metadata management, data validation, API development, or enterprise automation. Knowledge of:Data taxonomies and business glossaries Data lineage and data quality Critical data elements Data catalogues Data stewardship and governance workflows Experience in financial services, banking, risk, compliance, regulatory reporting, cyber, fraud, or technology risk. Strong communication, stakeholder-management, analytical, and problem-solving skills. Desirable Experience: Collibra APIs, workflows, Edge, Connect, and import/export tools. Integration with Snowflake, Databricks, AWS, Azure, GCP, Informatica, or data-quality platforms. Knowledge of BCBS 239, GDPR, CCPA, DORA, MiFID, Basel, or Solvency II. Experience with data mesh, data products, domain-driven design, or enterprise data marketplaces. Experience with GitHub Copilot, ChatGPT, Claude, Cursor, or similar AI-assisted development tools. Relevant data governance, cloud, data management, or architecture certification.