Associate Technical Architect

Responsibilities

• Design, develop, and optimize scalable cloud-native data platforms and pipelines on Google Cloud Platform (GCP).
• Implement robust batch, streaming, and event-driven data processing solutions to support enterprise analytics and AI use cases.
• Develop reusable, domain-oriented data products aligned with data mesh and data-as-a-product principles.
• Build AI-ready data pipelines and scalable feature engineering workflows supporting Vertex AI, BigQuery ML, and GenAI integration.
• Lead day-to-day engineering activities, providing mentorship to junior and mid-level data engineers on modern best practices.
• Implement data governance, lineage, monitoring, and observability frameworks to ensure production readiness.
• Collaborate with Enterprise Architects and stakeholders to translate target-state architecture into scalable engineering implementations.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 7+ years of experience in data engineering and cloud-native data platform development.
• 4+ years of hands-on experience delivering enterprise-scale solutions on GCP.
• Expertise in building scalable batch and streaming data pipelines using tools like BigQuery, Dataflow, and Pub/Sub.
• Strong experience with AI/ML and GenAI data enablement, including RAG architectures and vector databases.
• Proficiency in Python, SQL, and PySpark.
• Proven leadership skills with the ability to mentor teams and drive engineering excellence.

Preferred Qualifications

• GCP certifications, such as Professional Data Engineer.
• Experience with DBT, Cloud Composer (Airflow), and CI/CD automation for data platforms.
• Knowledge of semantic modeling and business-consumption layers.

About the Company

Merkle is part of the dentsu network, a global leader in driving innovation through Integrated Growth Solutions. We focus on helping clients reach and nurture relationships with audiences through advanced technology and data-driven insights.