About the Role

As a Data Architect, you will design and architect scalable data ingestion pipelines, ingest real-time data using Confluent Kafka, and utilize Google Dataflow for data processing. You will model and optimize data storage in Snowflake, develop dashboards using Tableau, and implement real-time reporting capabilities. Collaboration with data engineers and business stakeholders is essential to understand data requirements and ensure data governance and quality standards.

About You

Required:

Proven experience as a Data Architect or similar role in data-intensive environments.
Strong expertise in data ingestion technologies, especially Confluent Kafka.
Hands-on experience with Google Dataflow (Apache Beam) for data processing and transformation.
Deep knowledge of cloud data warehousing concepts, with proficiency in Snowflake.
Experience creating reports and dashboards using Tableau.
Solid understanding of data modeling techniques (star schema, snowflake schema, normalized forms).
Familiarity with API integration for real-time data delivery.
Strong problem-solving skills and attention to data quality and reliability.
Excellent communication skills and ability to translate technical concepts for business stakeholders.

Preferred:

Experience in the automotive or truck industry, particularly in Aftersales service data.
Knowledge of additional cloud platforms and data tools (e.g., AWS, Google Cloud Platform, Azure).
Programming skills in Python, SQL, or Java.
Understanding of dealer management systems and external data integration challenges.

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Data Architect (Google Dataflow)

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Summary

About the Role

About You