Data Architect – Aftersales Service & Repair (Truck Industry)

[Venkat Reddy]

Job Description: Data Architect – Aftersales Service & Repair (Truck Industry)

Location: Remote 

About the Role

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.

 

Key Responsibilities 

• • 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.

 

Required Qualifications 

• • 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 Qualification 

• • 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.

Thanks & Regards,
Maddula Venkateshwara Reddy | ICS Global Soft
Senior. US IT RECRUITER
venkatre...@gmail.com