Senior Snowflake Developer

We are seeking an experienced Senior Snowflake Developer to join our Data & Analytics team and play a key role in building and enhancing enterprise data platforms within a Financial Services environment. The successful candidate will be responsible for designing, developing, and optimizing scalable cloud-based data solutions that support critical Risk, Finance, Treasury, Regulatory, and Management Reporting capabilities. This role combines hands-on technical delivery with solution design, data architecture, and stakeholder engagement, requiring an individual who can translate complex business requirements into robust, enterprise-grade data solutions. Data Engineering & Solution Delivery

• Design, build, and maintain scalable data solutions on the Snowflake platform.
• Develop and optimize ELT/ETL pipelines to support enterprise reporting, analytics, and regulatory requirements.
• Design and implement dimensional, analytical, and operational data models.
• Develop and maintain reusable transformation frameworks using dbt.
• Build Python-based data processing, automation, and integration solutions.
• Develop data ingestion processes from multiple internal and external source systems.
• Support cloud migration and data platform modernization initiatives.
• Contribute to solution architecture, engineering standards, and platform design decisions. Performance, Quality & Governance
• Optimize Snowflake databases, workloads, and SQL queries to improve performance, scalability, and cost efficiency.
• Implement data quality controls, reconciliation processes, and monitoring frameworks.
• Troubleshoot complex production, performance, and data integrity issues.
• Ensure solutions adhere to enterprise security, governance, and regulatory standards.
• Support code reviews, testing, release management, and CI/CD delivery practices.
• Maintain technical documentation and promote engineering best practices across the data platform. Stakeholder Engagement
• Partner with business stakeholders to gather requirements and translate them into scalable technical solutions.
• Lead workshops, discovery sessions, and solution design discussions.
• Collaborate effectively with business users, data architects, developers, and project teams.
• Communicate complex technical concepts to both technical and non-technical audiences.
• Provide technical leadership and guidance throughout project delivery. Technical Expertise
• 7+ years of experience in Data Engineering, Data Warehousing, or Analytics Platform Development.
• 3+ years of hands-on Snowflake development experience within large-scale enterprise environments.
• Strong expertise in Snowflake architecture, performance optimization, security, and data modelling.
• Advanced SQL development and database optimization skills.
• Strong experience with dbt for data transformation, testing, deployment, and modelling.
• Advanced Python programming skills for data engineering and automation.
• Proven experience designing and implementing enterprise-scale ETL/ELT solutions.
• Strong understanding of - Data Warehousing principles, Dimensional Modelling and Star Schema design, Data Architecture and Data Governance, Data Quality and Performance Optimization
• Experience with Git-based source control and CI/CD deployment practices. Financial Services Experience
• Proven experience within Banking or Financial Services organizations.
• Strong understanding of data ecosystems supporting: Credit Risk, Market Risk, Finance & Treasury, Regulatory Reporting, Management Information & Analytics
• Experience working within governance, audit, and control frameworks typical of regulated financial institutions. Stakeholder & Communication Skills
• Strong stakeholder management and business engagement capabilities.
• Experience working directly with business users, product owners, and senior stakeholders.
• Ability to translate complex business requirements into scalable technical solutions.
• Excellent communication, presentation, and documentation skills.
• Strong analytical, problem-solving, and decision-making abilities. Desired Skills
• Control-M, AutoSys, or equivalent workload scheduling tools.
• Microsoft BI technologies including SSIS, SSRS, and SSAS.
• Power BI and enterprise reporting platforms.
• Azure Data Services, Azure Data Factory, or similar cloud data technologies.
• Experience delivering cloud migration and data modernization programs.
• Knowledge of real-time or near real-time data processing architectures.
• Exposure to Artificial Intelligence, Generative AI, or Machine Learning solutions.