Senior Lead Engineer
London Stock Exchange Group1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and develop scalable, high-performance enterprise applications using Java and related technologies.
- Lead migration of legacy on-premises applications, databases, and data platforms to modern cloud-native architectures.
- Drive architectural reviews, technology modernization initiatives, and engineering procedures across teams.
- Mentor engineers and provide technical leadership in database engineering, cloud architecture, data management, analytics, and AI adoption.
- Develop and maintain SQL queries, stored procedures, views, APIs, and data services for critical business applications.
- Design, build, and optimize ETL/ELT pipelines for structured and unstructured data integration.
- Implement governance, security, data quality, lineage, compliance, and responsible AI controls across enterprise platforms.
- Establish guidelines for AI governance and support adoption of generative AI, agentic AI, and multi-agent systems.
Requirements
- 12+ years of experience in software engineering, database technologies, analytics, and enterprise data platforms.
- Bachelor's degree or equivalent in computer science, engineering, information systems, or a related field.
- Strong programming skills in Java, Python, and SQL, with deep expertise in database design, data modeling, query optimization, and performance tuning.
- Strong proficiency with Microsoft Azure, including Data Lake Storage, Event Hubs, Functions, and API Management.
- Experience with ETL/ELT frameworks, orchestration, and data integration across SQL Server, PostgreSQL, Oracle, and Azure data services.
- Experience with Spring Boot, Spring Cloud, REST APIs, GraphQL, microservices, SQL, PL/SQL, T-SQL, and database programming.
- Experience with Azure Data Factory, data lake storage, Docker, container orchestration, GitHub Actions, and Azure DevOps.
- Knowledge of security, governance, compliance, operational excellence, Microsoft Purview, data governance frameworks, and enterprise metadata management.
- Strong leadership, problem-solving, communication, stakeholder management, and technical mentoring skills.
- Microsoft Azure AI Engineer Associate, Azure Solutions Architect, or Fabric Analytics Engineer Associate certification is advantageous.
Benefits
- Healthcare, retirement planning, paid volunteering days, and wellbeing initiatives are offered.
- The role is part of a collaborative, global organization with equal-opportunity and reasonable-accommodation commitments.
- Employees can participate in fundraising and volunteering through the LSEG Foundation.
Categories
About London Stock Exchange Group
London Stock Exchange Group (LSEG) provides market infrastructure, financial data, and analytics to banks, asset managers, and corporations. Its businesses span capital markets (London Stock Exchange), post-trade clearing (LCH), and information services including FTSE Russell indices and the Refinitiv data platform, funded by transaction fees, subscriptions, and licensing. Headquartered in London and publicly listed on the LSE, the group serves global customers seeking trading, clearing, benchmarks, and enterprise data solutions.