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 looking for a Senior Python Developer / Data Modelling Specialist to design and deliver scalable data governance and metadata solutions in a high-impact technology environment. The ideal candidate will have strong experience in Python, Pydantic, FastAPI, Collibra, data modelling, metadata management, and enterprise data governance. You will work with data, technology, risk, compliance, architecture, and business teams to develop robust, reusable, and regulatory-ready solutions. Key Responsibilities: Design and maintain enterprise asset models aligned with data governance, metadata, regulatory, and technology risk requirements.Configure Collibra asset types, attributes, relations, domains, communities, workflows, roles, and responsibilities.Develop Python solutions using Pydantic for schema definition, validation, serialization, and configuration-driven modelling.Build reusable libraries and automation patterns for data ingestion, governance workflows, data quality, lineage, integrations, and reporting.Work with REST APIs, JSON, YAML, SQL, and structured and unstructured data.Design solutions for large-scale financial, risk, and regulatory data with a focus on performance, integrity, traceability, and control.Use AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or Cursor responsibly to improve productivity and code quality.Collaborate with cross-functional stakeholders to translate complex business and regulatory requirements into scalable data solutions. Required Skills and Experience: 6+ years of professional experience in Python development.Strong hands-on experience with Pydantic, FastAPI, REST APIs, JSON, YAML, and SQL.Experience designing data models, schemas, validation frameworks, and API-ready data structures.Practical experience with Collibra or similar data governance and metadata management platforms.Knowledge of data taxonomies, business glossaries, data lineage, data quality, critical data elements, and governance workflows.Experience in financial services, banking, risk, compliance, regulatory reporting, cyber, fraud, or technology risk.Understanding of Git, code reviews, automated testing, documentation, and CI/CD practices.Strong analytical, communication, documentation, and stakeholder management skills. Desirable Skills: Experience with Collibra APIs, workflows, import/export tools, Edge, or Connect integrations.Exposure to Snowflake, Databricks, Azure, AWS, GCP, Informatica, or other enterprise data platforms.Knowledge of data mesh, data products, domain-driven design, and enterprise data marketplaces.Understanding of BCBS 239, GDPR, CCPA, DORA, MiFID, Basel, Solvency II, or similar regulatory frameworks.Data governance, data management, cloud, or related professional certifications. Qualifications: Bachelor’s degree in computer science, Software Engineering, Information Systems, Data Engineering, or a related discipline. Apply now to help build scalable, secure, and governed data solutions for the enterprise.