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Kalibri Labs

Sr Director of Data Engineering

Posted 17 Days Ago
Be an Early Applicant
Remote
2 Locations
185K-215K Annually
Senior level
Remote
2 Locations
185K-215K Annually
Senior level
Lead the data engineering team at Kalibri Labs, architect ELT pipelines, implement engineering best practices, and manage cross-functional collaboration.
The summary above was generated by AI

At Kalibri Labs, we are helping to redefine and rebuild the way performance metrics are viewed in the hotel industry. We are looking for passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo. We are working on cutting-edge solutions for the industry as they navigate the recovery process. We are using our big data coupled with machine learning and AI to help highlight the path forward. Kalibri Labs is growing, so if you’re ready to make a difference and utilize your talents across a groundbreaking organization, please keep reading!

We’re building a modern ELT data system and looking for an experienced and driven data engineering leader to manage our data teams, establish our technical excellence, and build our engineering processes for a growing data company. You’ll collaborate with cross-functional stakeholders across Product, Engineering, and Data Operations to ensure timely, high-quality data is always available to support mission-critical analytics and product capabilities. This is a hands-on leadership role for someone who thrives at the intersection of strategy, architecture, and team-building.

If you’re ready to make a difference and apply your talents in a groundbreaking organization, please keep reading!

Responsibilities

  • Define and lead the long-term strategy for our data platform, including ingestion, transformation, testing, and delivery

  • Architect scalable and reliable ELT pipelines using Snowflake, dbt, prefect, and Python-based frameworks

  • Implement engineering best practices across CI/CD, version control, test automation, observability, and cloud operations

  • Build and mentor a high-performing data engineering team, developing engineers and future leaders

  • Partner closely with the Director of Data Operations to align on delivery timelines, team responsibilities, and platform direction

  • Own operational excellence for the platform, driving improvements in performance, cost, and data quality

  • Lead through influence and clarity, promoting a culture of collaboration, accountability, and real communication

  • Identify engineering and architectural gaps and develop a plan to address these gaps

  • Evaluate and integrate modern data tools and vendors (e.g., Airbyte, Great Expectations, Atlan, etc.) to accelerate the roadmap

  • Ensure quality, availability, and accessibility of our data to product, marketing, and customer teams

Skills & Requirements

  • 10+ years of experience in data engineering or software engineering roles, including 3+ years in technical leadership at the Director+ level. Proven ability to mentor, coach, and motivate while building effective data organizations

  • Deep experience building data platforms in cloud-native environments, ideally with AWS, Snowflake, dbt, and Python

  • Proven success leading high-impact teams working on ELT pipelines, orchestration systems, and data modeling frameworks

  • Expertise in modern engineering practices, CI/CD, test automation, code reviews, infrastructure as code

  • Familiarity with AWS services including S3, Lambda, Step Functions, and IAM

  • Experience mentoring engineers and leading through others, especially in cross-functional teams

  • Strong decision-making abilities. Able to break down complex problems into iterative solutions that balance the product roadmap with infrastructure improvement

  • Ability to collaborate across disciplines, balancing product needs with platform scalability and long-term technical quality

  • Background leading engineering in SaaS companies

Preferred Qualifications

  • Experience with data quality frameworks (e.g., Great Expectations, dbt tests), data contracts, and data observability (e.g., Monte Carlo)

  • Experience with Spark ETL systems

  • Familiarity with tools like Airbyte, Fivetran, Airflow, Prefect, Dagster and/or similar ingestion/orchestration solutions

  • Experienced with identity resolution, data platforms, and/or large-scale data product development

  • Experience supporting compliance or security initiatives (SOC 2, GDPR)

  • Experience in the hospitality industry

The Benefits

  • All positions are fully remote.

  • We cover 75% of the cost of medical insurance premiums for employees & their dependents with three medical plans through Blue Cross, Blue Shield.

  • We cover 75% of the cost of dental and vision insurance premiums for employees & their dependents.

  • We provide a 50% 401k match of the first 6% of the employee's contribution (for a max of 3%).

  • We also provide $50,000 of life insurance, Long-term disability and an Employee Assistance Program.

  • All new hires receive a $250 allowance to help them set up their home office.

Compensation Range: $185K - $215K


#BI-Remote

Top Skills

Airbyte
Airflow
AWS
Dagster
Dbt
Fivetran
Great Expectations
Iam
Lambda
Prefect
Python
S3
Snowflake
Spark
Step Functions

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