Director of Data Engineering

Kalibri Labs

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States

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💰 $180,000 - $200,000 per year

Lead

AWSCloudETLKafkaPythonSpark

About the role

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
Drive cross-functional initiatives to improve performance, cost, and security of the platform
Evaluate, select, and integrate modern data tools and vendors (e.g., Airbyte, Fivetran, Great Expectations, Atlan) to accelerate the roadmap
Champion security, compliance, and responsible data practices (SOC 2, GDPR)

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
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
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
Experience delivering data platforms that support both analytics and ML/AI use cases
Experience supporting compliance-driven environments (SOC 2, GDPR, CCPA)
Preferred: Experience with data quality and observability frameworks (e.g., dbt tests, Great Expectations, Monte Carlo)
Preferred: Familiarity with Spark ETL systems or streaming frameworks (Kafka, Kinesis)
Preferred: Experience with identity resolution, large-scale data product development, or feature stores
Preferred: Background in hospitality, travel, or other data-rich verticals