Kalibri is looking to redefine and rebuild the hotel industry by harnessing cloud-native data pipelines with advanced AI/ML models to drive asset performance. They aim to empower hotel investors, owners, and operators to create a thriving hospitality industry and improve hotel profitability and investment underwriting through rich, data-driven experiences.
Requirements
- Deep expertise in cloud-native ecosystems (AWS preferred), including S3, Lambda, Step Functions, and IAM.
- Strong proficiency with Snowflake, dbt, Prefect (or similar orchestration), and Python.
- Demonstrated experience with CI/CD, infrastructure-as-code, test automation, and observability for data systems.
- Experience delivering data platforms that support both analytics and ML/AI use cases.
- Experience with data quality and observability frameworks (e.g., dbt tests, Great Expectations, Monte Carlo).
- Familiarity with Spark ETL systems or streaming frameworks (Kafka, Kinesis).
- Experience with identity resolution, large-scale data product development, or feature stores.
Responsibilities
- Define and own the long-term strategy for Kalibri’s data platform, including ingestion, transformation, testing, orchestration, and delivery.
- Architect and operate scalable, reliable ELT pipelines in a cloud-native environment using Snowflake, dbt, Prefect, and Python-based frameworks.
- Implement engineering best practices across CI/CD, observability, infrastructure-as-code, test automation, and version control.
- Build, mentor, and grow a high-performing data engineering team; foster a culture of learning, collaboration, and operational excellence.
- Ensure data quality, availability, and accessibility for downstream consumers (analytics, ML, product, and customer teams).
- Partner with ML Engineering, Data Science, and Product to design and maintain feature pipelines, serving infrastructure, and shared platform components.
- Evaluate, select, and integrate modern data tools and vendors (e.g., Airbyte, Fivetran, Great Expectations, Atlan) to accelerate the roadmap.
Other
- 10+ years of experience in data engineering or software engineering, including 3+ years in a technical leadership role at the Director+ level.
- Proven success building and scaling modern data platforms and ELT pipelines in SaaS or high-growth environments.
- Strong leadership skills with experience hiring, mentoring, and retaining engineering talent.
- Excellent cross-functional collaboration skills with proven ability to align engineers, analysts, scientists, and product managers.
- Ability to break down complex problems into iterative solutions that balance roadmap delivery with technical excellence.
