Senior Data Architect

We are seeking a skilled Data Architect to lead the migration, analysis, and reporting of service and repair data, including external data sourced from dealers in the truck industry. This role plays a critical part in enabling data-driven decision-making for our Aftersales operations by designing and implementing robust data pipelines, data models, and real-time reporting solutions.

• Design and architect scalable data ingestion pipelines to process service and repair data from multiple sources, including external dealer data streams.
• Ingest real-time data using Confluent Kafka and ensure reliable, high-throughput data flow.
• Utilize Google Dataflow to perform data cleansing, normalization, and transformation operations.
• Model and optimize data storage in Snowflake to support efficient querying and reporting.
• Develop and maintain interactive and insightful dashboards using Tableau to enable business users to monitor Aftersales service performance.
• Implement real-time reporting capabilities by pushing transformed data through APIs to dashboards.
• Collaborate closely with data engineers, analysts, and business stakeholders to understand data requirements and deliver optimal solutions.
• Establish and enforce data governance, quality, and security standards.
• Continuously improve data architecture to support scalability, performance, and evolving business needs.

• 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.

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