Job SummaryPosition :- Data Architect Location: Renton, WA (onsite) 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
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- 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
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- Proven experience as a Data Architect or similar role in data intensive environments.
- Strong expertise in data ingestion technologies, especiallyConfluent Kafka.
- Hands on experience withGoogle Dataflow(Apache Beam) for data processing and transformation.
- Deep knowledge of cloud data warehousing concepts, with proficiency inSnowflake.
- Experience creating reports and dashboards usingTableau.
- 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 Qualifications
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- 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.
The pay range for this role is $120k - $130k per annum including any bonuses or variable pay.75-80/hr Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
