ON Data Staffing · 16 hours ago
Principal Data Architect – GCP, Airflow & DBT
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Responsibilities
Leverage your extensive experience with GCP, Airflow, and DBT to engage in presales activities, providing tailored data architecture solutions to meet client needs.
Collaborate with sales teams to create impactful proposals, presentations, and solution demonstrations that highlight the benefits of GCP-based data ecosystems.
Design and implement cloud-native data architectures on Google Cloud Platform (BigQuery, Cloud Composer, Dataflow, Pub/Sub).
Utilize Apache Airflow to build and orchestrate complex ETL/ELT workflows.
Leverage DBT for data transformation, modeling, and creating scalable data pipelines.
Provide technical leadership to solve complex data challenges, ensuring optimized, reliable, and high-performance data solutions.
Serve as a trusted advisor, providing strategic guidance and technical expertise to clients implementing modern data solutions on GCP.
Collaborate closely with clients to understand their business needs, developing actionable architecture roadmaps and best practices.
Stay up to date with emerging trends and advancements in cloud data engineering, Airflow, and DBT technologies to maintain innovative approaches.
Qualification
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Required
Proven experience designing and implementing cloud-based data solutions with GCP
Strong hands-on experience with Apache Airflow for workflow orchestration.
Expertise in DBT for data modeling, transformations, and pipeline development.
Demonstrated success in presales, consulting, and client engagement for data architecture projects.
Strong leadership experience, including team management, mentorship, and recruitment.
Excellent communication and interpersonal skills to collaborate effectively with clients and stakeholders.
Preferred
Certifications in GCP (e.g., Professional Data Engineer) are highly desirable.