Role : Lead Software Engineer II.

Roles And Responsibilities :

As a Lead Software Engineer II on our Core Data & Analytics Team, you will play a critical role in designing and scaling backend systems and data platforms that power analytics, product intelligence, and operational decision-making.

You will also help drive the automation of analytics workflows and data-driven applications using AI technologies.

System & Platform Architecture :

- Architect and manage scalable and reliable data pipelines to support real-time and batch analytics.

- Design and implement systems that enable efficient movement and transformation of large-scale data across databases and warehouses.

- Contribute to the development of backend services and internal platforms that integrate with our data ecosystem.

Analytics Automation & AI :

- Lead backend initiatives to support the automation of analytics tasks using AI and machine learning frameworks.

- Build infrastructure and services to enable anomaly detection, data quality monitoring, and insight generation at scale.

Software Development :

- Develop clean, modular, and maintainable backend code, with a strong focus on Python as the primary language.

- Develop database models and optimize performance across relational and analytical stores like MySQL and Snowflake.

- Implement and optimize complex queries strong SQL skills are a must.

- Collaborate with the engineering team to build event-driven systems and APIs to support product and analytics use cases.

Infrastructure & Operations :

- Utilize cloud platforms (preferably AWS) to deploy and manage backend and data infrastructure.

- Monitor and optimize systems for cost efficiency, scalability, and resilience.

Leadership & Collaboration :

- Mentor engineers, contribute to hiring and onboarding, and foster a culture of engineering excellence.

- Lead architectural discussions, technical planning, and postmortem reviews.

- Work cross-functionally with analytics, product, infrastructure, and customer-facing teams to align system design with business needs.

Expertise And Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- 8 to 14 years of experience in backend or data engineering with proven expertise in designing large-scale systems.

- Strong proficiency in Python and SQL is required.

- Experience working with relational databases and cloud-based data platforms such as MySQL and Snowflake, Databricks, Big Query or any such datawarehouse technologies.

- Familiarity with modern data engineering tools such as Airflow, DBT, AWS DMS, Debezium, Flink, or similar technologies is a strong advantage.

- Strong understanding of distributed systems, data modeling, and data integration patterns.

- Familiarity with event-driven architectures and stream processing is a plus.

- Exposure to AI/ML workflows, data science tools, or analytics automation is a strong advantage.

- Strong leadership, problem-solving, and communication skills.

Additional Information Perks & Benefits :

- Equity.

- Medical insurance for employees and dependents.

- Quarterly Professional Development allowance.

- Company Wellness Days (On months without holidays, you are still given a 3-day weekend).

Sense is an equal-opportunity employer.

We believe that diversity, inclusion, and belonging are integral to our success and do not discriminate based on race, color, religion, age, or any other basis protected by law.

All your information will be kept confidential according to EEO guidelines.