Principal Software Engineer – Data Technology Platforms(Associate Data Architect II)

Principal Software Engineer – Data Technology Platforms Location London Start : ASAP End : As of now till Dec 2026 with possible extesnions Seeking an experienced and data-focused Principal Software Engineer to join our Data Technology Platforms team. This team is responsible for building, enhancing, and operating enterprise-wide data platforms that support operational, analytical, regulatory, and AI-driven business capabilities. The ideal candidate will have deep expertise in modern data engineering, database technologies, cloud platforms, and data governance. You will play a key role in defining strategic data solutions, partnering with business and technology stakeholders, and delivering scalable, high-performance data platforms that enable data-driven decision making across the organization. This role is suited to a technology leader who combines strong hands-on engineering skills with strategic thinking, stakeholder management, and a passion for delivering business value through data. Key Responsibilities Strategic & Technical Leadership

Drive the design and evolution of modern, cloud-based data platforms. Translate business requirements into scalable, reusable, and strategic data solutions. Provide technical leadership across data engineering initiatives and platform modernization efforts. Champion best practices in architecture, data governance, quality, security, and scalability.

Solution Delivery

Analyze business and technical requirements and evaluate solution viability. Design, develop, test, and deploy enterprise-grade data solutions. Support the full Software Development Lifecycle (SDLC), from requirements through production support. Ensure solutions are maintainable, supportable, and aligned with enterprise standards. Optimize performance for large-scale data processing and analytics workloads.

Stakeholder Management

Partner with business stakeholders, product owners, architects, analysts, engineers, and support teams. Act as a trusted advisor on data strategy and platform capabilities. Manage competing priorities while balancing immediate delivery needs with long-term strategic objectives. Communicate effectively with both technical and non-technical audiences.

Team Collaboration

Mentor engineers and contribute to the growth of the wider technology organization. Promote agile delivery practices and continuous improvement. Take ownership of individual deliverables while contributing to overall team success. Support operational excellence and knowledge transfer to production support teams.

Required Skills & Experience Data Engineering & Development

Strong expertise in SQL database development and optimization. Hands-on experience with:

Snowflake DBT Azure Data Factory Python

Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ELT practices. Proven ability to tune and optimize solutions handling large data volumes.

Cloud & DevOps

Experience with cloud-native data platforms, preferably on Microsoft Azure . Strong knowledge of:

Azure DevOps Git CI/CD pipelines Automated deployment practices

Experience implementing engineering best practices, testing, and release management processes.

Software Engineering

Ability to develop well-structured, maintainable, and thoroughly tested solutions. Strong problem-solving and analytical skills. Experience supporting production systems and driving operational excellence.

Stakeholder & Business Engagement

Experience working with senior business and technology stakeholders. Strong communication and relationship management skills. Ability to balance delivery timelines with strategic platform evolution.

Preferred Qualifications

• Experience within Financial Services , Asset Management, Banking, Wealth Management, or Capital Markets. Development experience using:

• .NET / C# Azure Functions Azure Services

• Familiarity with Agile delivery frameworks and methodologies. Experience with Test-Driven Development (TDD) and test automation practices. Knowledge of modern data governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities.

• #UST

• Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python