Director of Data Engineering

Title: Director of Data Engineering

Location

US

Employment Type

Full time

Location Type

Remote

Department

Tech

Compensation

$180,000-$200,000 $180K – $200K

Job Description:

At Kalibri, we are helping to redefine and rebuild 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: we harness cloud-native data pipelines with advanced AI/ML models to drive asset performance. Kalibri is growing, so if you’re ready to make a difference and utilize your talents across a groundbreaking organization, please keep reading!

At Kalibri, our mission is to empower hotel investors, owners, and operators to create a thriving hospitality industry. We help our customers improve hotel profitability and investment underwriting through rich, data-driven experiences. We sit at the intersection of hospitality and the modern data ecosystem, building the trusted data foundation that powers analytics, ML, customer features, and core business operations.

We’re looking for a proven data engineering leader to define and scale our data platform, build a high-performing team, and ensure reliable, secure, and cost-effective delivery of data. You’ll partner closely with Product, ML Engineering, Data Science, and Data Operations to transform raw data into insights, features, and products. This is a hands-on leadership role for someone who thrives at the intersection of strategy, architecture, and execution.

If you’re ready to shape the data backbone of AI-powered hospitality, keep reading.

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.

• 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).

Requirements

• 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.

Preferred Qualifications

• 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.

• Background in hospitality, travel, or other data-rich verticals.

Experience supporting compliance-driven environments (SOC 2, GDPR, CCPA).

The Benefits

• Fully remote work, with a thriving company culture

• Robust medical, dental, and vision plans through Blue Cross Blue Shield, including a $0 cost plan for employees and subsidized coverage for dependents

• 401k plan with employer match

• Flexible Paid Time Off

• $250 new hire allowance for home office setup