Senior Software Engineer

Location- Hybrid, Pune

Position Summary:

We are looking for a Senior Software Engineer with an experience in Data Engineering or Data Platform development with a mindset to design scalable, production-grade systems. This role requires both deep technical ability and leadership - someone who can architect solutions, contribute to development, and mentor team members.

Location: Hybrid, Pune

Responsibilities

• Design and build scalable data platforms, ingestion frameworks, and analytics solutions.
• Architect end-to-end data solutions spanning ingestion, transformation, storage, and presentation layers.
• Develop and optimize ETL/ELT pipelines using Databricks, Spark, and cloud-native technologies.
• Design and implement Lakehouse architectures and data models following Medallion principles.
• Collaborate with product, engineering, and analytics teams to deliver data-driven capabilities.
• Drive architecture discussions and ensure scalability, reliability, security, and cost efficiency.
• Implement data governance, RBAC, RLS, CLS, data quality, and security best practices.
• Review designs and code, maintain engineering standards, and mentor junior engineers.
• Enable AI-driven insights by building data foundations and integrating AI capabilities into the platform.

Qualifications

• 8+ years of experience in Data Engineering or Data Platform development.
• Strong hands-on experience with Databricks, Apache Spark, Python, and SQL.
• Experience designing and implementing modern Lakehouse architectures and Medallion data models.
• Strong understanding of distributed data processing, data modeling, partitioning, and performance optimization.
• Experience building batch and streaming data pipelines at scale.
• Experience with Azure data services and cloud-agnostic data platforms.
• Strong knowledge of data governance, security, lineage, RBAC, RLS, and CLS frameworks.
• Experience designing enterprise-scale analytics and data platforms.
• Experience leveraging Databricks AI capabilities or similar platforms to build AI-powered insights and intelligent data solutions.
• Strong problem-solving, system design, and technical leadership skills.

Good to Have

• Experience with Apache Iceberg, Delta Lake, or open table formats.
• Experience with Azure Data Factory, Event Hub, Kafka, or real-time data processing.
• Familiarity with CI/CD, Infrastructure as Code, and DevOps practices.
• Experience with data observability, monitoring, and metadata management tools.
• Exposure to AI/ML feature engineering and GenAI-powered analytics solutions.

Who are we:

• A great Team and culture – please see our colleague video.
• An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start.
• An attractive salary and benefits package.
• A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups.
• A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact.

About Bentley Systems

Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com

Equal Opportunity Employer:

Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.