Lead Data Engineer
Solifi
Software Engineering, Data Science
India
Posted on Dec 11, 2025
| Lead Data Engineer | ||
| VN885 | ||
| Lead Data Engineer | ||
| Bangalore | ||
| Solifi deliver a solid financial technology foundation for equipment, working capital, wholesale, and automotive finance firms. At Solifi, we believe that commerce is only as strong as the system it runs on. Our mission is to reshape finance technology by bringing together proven solutions into a singular powerful technology platform designed to help protect and scale financial organizations. We guard our customers by being precise and reliable, we guide their success by combining powerful technology with proven expertise, and we help them grow by unleashing their potential. | ||
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| As a Lead Data Engineer, you are a senior technical leader responsible for architecting, building, and optimizing large-scale data pipelines, models, and reporting systems that power Solifi’s risk-management platform. You design and implement cloud-native data solutions that transform operational data into reliable, accessible, and scalable datasets for analytics, reporting, and cross-team consumption. You bring deep experience in Python-based data engineering, ELT patterns, complex data modeling, and building modern AWS-native data ecosystems. You excel at solving difficult data integration challenges and enabling analytics teams through well-structured data pipelines, curated datasets, dashboards, and APIs. While the role is primarily data engineering–focused, you can comfortably work in .NET (C#) when necessary, especially to create microservices that expose curated data for internal or customer-facing scenarios. You work closely with product, engineering, and business stakeholders, helping shape the long-term data strategy for Solifi’s risk data ecosystem. As a Staff-level engineer, you act as a technical authority, mentor, and thought leader, driving improvements in data quality, engineering best practices, and architectural robustness across the organization. | ||
| • Architect, design, and build scalable data pipelines in Python, transforming operational and analytical data into structured datasets for reporting, analytics, and downstream systems. • Lead the creation of ELT processes including ingestion, validation, enrichment, aggregation, and historical data modeling. • Develop and maintain AWS-native data platforms, including S3-based data lakes/marts, Redshift Spectrum, and other related AWS services. • Design and build Amazon QuickSight dashboards and reports that deliver high-quality insights for customers and internal teams. • Integrate and unify data from multiple, diverse data sources to create comprehensive datasets supporting large-scale risk analysis and reporting. • Implement best practices in schema design, partitioning strategies, metadata management, and file formats (including Parquet and Apache Avro). • Build and maintain .NET microservices that expose curated data via RESTful APIs for operational and analytical needs. • Partner with engineering and product teams to define data requirements and deliver robust, scalable solutions. • Drive improvements in data reliability, quality, lineage, and observability, ensuring stakeholders trust the platform’s outputs. • Optimize processing and query performance across compute, storage, and orchestration layers. • Mentor engineers, influence architectural decisions, and elevate data engineering practices across Solifi. • Participate in technical design reviews, architectural discussions, and long-term planning, providing deep expertise in data systems and cloud-scale patterns. | ||
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| 8 years | ||
| Bachelor's Degree | ||
| Full Time | ||
| Group Medical Insurance, Group Personal Accident, Employee Anniversary gift, Loyalty Bonus, Employee Referral Bonus, Rewards and Recognition program, Wellness Allowance, Privilege Leave (PL): 15 days per year, Casual Leave (CL) 12 days per year, Maternity/paternity/Bereavement leave | ||
| 07 Jun 2026 |