Lead Software Developer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Software Developer based in India.

This is a senior technical leadership role focused on building and evolving enterprise-scale backend, data, and analytics platforms.
You will play a key role in shaping a modern data architecture, with a strategic focus on Snowflake-based analytics and data services.
The position combines hands-on software engineering with technical leadership across cloud platforms, databases, data engineering, and analytics.
You will influence architectural decisions, establish engineering standards, and deliver scalable capabilities that support business-critical applications.
The role also provides opportunities to work with AI-enabled data products, modern analytics solutions, and cloud-native technologies.
You will collaborate with architects, product leaders, engineers, and other stakeholders while mentoring technical teams and driving best practices.
The position offers a high degree of autonomy and the opportunity to shape technical direction across multiple engineering initiatives.

• Lead the design and evolution of enterprise data-platform architecture, establishing standards and best practices for data storage, integration, analytics, and governance.
• Drive the adoption and implementation of Snowflake-based solutions for reporting, analytics, AI-enabled data products, and enterprise data-warehouse initiatives.
• Own database architecture, performance optimization, operational reliability, and cost management across Snowflake, PostgreSQL, and SQL Server environments.
• Design and maintain scalable data-ingestion, transformation, and integration solutions capable of supporting high-volume application data.
• Develop analytics and self-service reporting capabilities, including semantic models, BI integrations, and intelligent data experiences.
• Contribute to Snowflake Cortex-powered solutions, including AI-assisted analytics and AI-enabled data products where appropriate.
• Partner with backend engineering teams to design and evolve scalable Java services, REST APIs, and distributed systems supporting business-critical applications.
• Develop cloud-native solutions using AWS services and modern DevOps and infrastructure-as-code practices.
• Build Python-based automation, orchestration, data-processing, and platform-tooling solutions.
• Collaborate with architects, product owners, and business stakeholders to define scalable, maintainable, and long-term technical solutions.
• Establish engineering standards, promote platform consistency, and drive operational excellence across multiple teams.
• Mentor engineers, share technical expertise, and influence engineering practices beyond the immediate team.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
• 10+ years of professional software engineering experience building enterprise-scale applications, platforms, or data systems.
• Demonstrated experience leading complex technical initiatives with a high degree of autonomy.
• Strong relational database expertise, particularly with SQL Server or PostgreSQL, including query optimization and performance tuning for transactional systems.
• Proven experience designing, implementing, and operating Snowflake-based data platforms in production environments.
• Strong understanding of data engineering, data warehousing, dimensional modeling, and OLAP concepts.
• Experience with modern business intelligence and analytics platforms such as Sigma, Power BI, Tableau, or comparable technologies.
• Experience with Snowflake Cortex, semantic views, AI/ML capabilities, agents, AI-assisted analytics, or AI-powered data products is highly desirable.
• Strong Java development experience with technologies such as Spring Boot, Hibernate/JPA, REST APIs, and microservice architectures.
• Strong AWS experience, including services such as EC2, S3, Lambda, Step Functions, and infrastructure-as-code solutions.
• Strong Python development skills for automation, orchestration, data engineering, and platform tooling.
• Understanding of distributed systems, event-driven architectures, and messaging technologies such as Kafka.
• Practical experience using AI tools to improve software development productivity and workflows.
• Strong communication, mentoring, stakeholder-management, and technical leadership abilities.
• Proven ability to influence technical direction across teams and drive adoption of engineering standards and best practices.
• Ability to work effectively in a collaborative environment while operating independently on complex technical problems.

Benefits:

• Competitive annual compensation, with the final salary dependent on location, job-related knowledge, skills, and experience.
• Hybrid working arrangement, subject to the applicable office-location requirements.
• Opportunity to work on enterprise-scale financial technology, data, analytics, and cloud initiatives.
• Exposure to modern technologies including Snowflake, Snowflake Cortex, AWS, Java, Python, distributed systems, and AI-enabled data products.
• High level of technical ownership and influence across multiple engineering teams.
• Opportunities for mentoring, technical leadership, and professional development.
• Collaborative environment involving engineering, architecture, product, data, and business stakeholders.
• Opportunity to contribute to the evolution of scalable, governed, and auditable data and analytics platforms.