nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.
Data Infrastructure & Optimisation (Core Focus)
- Design and implement scalable, reliable data pipelines that support product features and platform initiatives
- Own performance optimisation of data storage, retrieval, and processing systems
- Design data models and pipeline architectures that support both current and future requirements
- Build and maintain robust monitoring and alerting strategies to ensure system reliability
- Collaborate with the Lead Engineer on data architecture decisions and technical standards
- Establish best practices and standards for data engineering within the organisation
AWS Platform Transition (Immediate Priority)
- Support migration of critical data infrastructure from GCP to AWS, prioritising data integrity and continuity
- Optimise data storage strategies through the transition (PostgreSQL GCP → AWS, Elasticsearch → OpenSearch)
- Build data ingestion layers using Lambda and EC2 where appropriate
- Document new operational standards and patterns for the AWS environment
Cross-Functional Collaboration
- Partner with product teams to understand requirements and translate them into robust data solutions
- Work alongside the Senior Software Engineer and Lead Engineer on API data contracts and integration points
- Design and implement data pipelines using AWS-native services and Databricks as the primary compute layer
- Support incoming product initiatives with data infrastructure recommendations
- Bring discipline to technical decision-making and trade-off analysis
Execution Focus
- Maintain clarity on priorities and escalate blockers early
- Deliver on commitments with minimal scope creep
- Balance migration work with product development pipeline needs
- Communicate risks, dependencies, and timeline concerns proactively
Required Experience
- 6+ years as a data engineer or equivalent, with proven track record on complex ETL and data infrastructure projects
- Expert knowledge in one or more programming languages (Python, Scala, Java, or similar)
- Deep understanding of data modelling, distributed computing, and data pipeline architecture
- Strong experience with data processing frameworks and cloud data platforms
- Experience optimising relational and NoSQL databases for performance and scalability
- Solid understanding of data structures, algorithms, and system design principles
- AWS cloud platform expertise
- Familiarity with Unix systems, command-line tools, and version control (git)
- Ability to work in a prioritised, focused manner on mission-critical work
- Experience in regulated or high-reliability environments (FinTech, healthcare, etc. a strong plus)
Desired Qualifications
- Experience with Databricks or Apache Spark for distributed data processing
- AWS cloud platform expertise in building scalable application and levraging IaaC.
- Knowledge of API design and data contract principles
- Experience with modern data orchestration tools (Airflow, Dagster, etc.)
- Understanding of data governance and compliance requirements in regulated industries
- Exposure to agile development methodologies and collaborative team environments
Technical Stack
Current & Migration Focus
- AWS (core platform, expanding from GCP)
- Databricks (primary data processing layer)
- PostgreSQL (relational database)
- OpenSearch (search and analytics, migrated from Elasticsearch)
- Lambda & EC2 (data ingestion and orchestration)
- Kubernetes, Docker (containerisation)
Languages & Frameworks
- Data Pipelines
- Databricks, Python, & Scala, Pyspark, Typescript with AWS SDK
- API development and data integration patterns
- Kotlin, PHP, & TypeScript
If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.
nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at [email protected].
Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.
