Tech Lead Data Engineer

cloudbedsthirdpartyboard; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Fully remote role

PTA aligned with local labour rules

Parental leave

Learning and development programs

Job summary

Cloudbeds Third Party Board is hiring a senior data leader to own the data platform and guide a small but capable analytics team. You will shape data architecture, own modelling and warehouses, and supervise Analytical Engineers across Snowflake, dbt, Matillion, and Sigma.

You will drive end-to-end data pipelines, bolster DataOps and CI/CD, and foster governance and observability. A hands-on, remote-first leader who mentors across time zones is essential.

Qualifications

• Proven track record as senior data engineer, data architect, or tech lead.
• Hands-on experience with Snowflake and dimensional modelling patterns.
• Strong software engineering discipline applied to data pipelines.
• Experience mentoring data engineers and collaborating with stakeholders.
• Familiarity with dbt, Matillion, and Sigma or comparable tooling.

Responsibilities

• Set the technical direction for the cloud data platform on Snowflake and design data products.
• Lead end-to-end design and execution of data pipelines, including ingestion and orchestration.
• Strengthen DataOps and CI/CD by embedding discipline into Git, CI/CD, and Jira workflows.
• Build governance and observability for lineage, freshness, and alerting.
• Tune Snowflake performance, clustering, and warehouse sizing to optimise cost and time.
• Mentor Analytical Engineers through architecture reviews in an Agile framework.
• Modernise the stack and evolve the architecture over time.

Skills

Data leadership

Mentoring

Cross-functional collaboration

Software engineering discipline

Agile experience

Tools

Snowflake

dbt

Matillion

Sigma

Job description

Role overview

A senior, hands-on technical leadership role within a small, fully remote Data Analytics and BI team that powers analytics for a global hospitality software platform. The position blends Data Architect and Tech Lead responsibilities, owning modelling and warehouse design while guiding a team of Analytical Engineers across Snowflake, dbt, Matillion, and Sigma.

Responsibilities

• Set the technical direction for the cloud data platform on Snowflake, including logical and physical data modelling across data products and marts using dimensional patterns such as star schemas, slowly changing dimensions, and conformed dimensions, captured through Architecture Decision Records
• Lead end-to-end design and execution of data pipelines covering ingestion, API integrations, custom connectors, ELT/ETL, and orchestration
• Strengthen DataOps and CI/CD practices by embedding data-specific discipline into existing Git, CI/CD, and Jira workflows, including automated dbt testing on pull requests, environment isolation, and credential management
• Build out governance and observability by evaluating and implementing data catalogue and observability tooling for lineage, freshness, completeness, and failure alerting
• Continuously tune Snowflake query performance, clustering, and warehouse sizing to optimise execution time and compute spend
• Mentor Analytical Engineers through architectural guidance, design reviews, and constructive challenge inside an Agile planning framework
• Modernise the stack and evolve the architecture over time

Requirements

• Proven track record as a senior data engineer, data architect, or tech lead operating in cloud data environments
• Deep, hands‑on experience with Snowflake and dimensional modelling patterns
• Strong software engineering discipline applied to data pipelines, including CI/CD and DataOps practices
• Experience leading or mentoring data engineers and collaborating with engineering, infrastructure, ML, and business stakeholders
• Familiarity with dbt, Matillion, and Sigma or comparable modern data stack tooling

Nice to have

• Background designing semantic layers and access patterns that make data ready for AI agents and automated workflows
• Experience building out MLOps workflows
• Exposure to data catalogue and observability tool selection and rollout
• Comfort working across multiple time zones in a remote‑first setup

Benefits and work setup

• Fully remote role with flexibility to work from anywhere
• PTO aligned with local labour requirements
• Fully paid parental leave
• Country‑of‑residency‑based home office stipend
• Access to internal learning programmes and professional development, including manager training and upskilling opportunities