Data Architect

Role Overview

We are looking for an experienced Data Engineering Tech Lead to lead the design, development, and delivery of scalable data platforms on Google Cloud Platform. This role combines hands-on technical leadership with solution ownership, team guidance, and stakeholder collaboration.

Key Responsibilities

Lead end-to-end data engineering solution design and delivery on GCP

Architect and oversee scalable data pipelines using BigQuery, Dataflow, and Cloud Composer

Define and govern data transformation standards using dbt

Review and optimize SQL and Python code for performance, reliability, and cost efficiency

Provide technical leadership across multiple data engineering workstreams

Mentor and guide L2/L3 engineers; conduct design and code reviews

Collaborate with architects, product owners, and business stakeholders

Drive engineering best practices, standards, and continuous improvement

Required Skills & Experience

812 years of experience in data engineering or related roles

Strong hands-on expertise with Google Cloud Platform (GCP)

Deep experience with BigQuery, Dataflow, and Cloud Composer

Advanced proficiency in SQL, Python, and dbt

Strong understanding of cloud-native data architectures and ELT/ETL patterns

Proven experience leading teams and owning complex data solutions

Ability to balance hands-on development with technical leadership