Tech Lead

Position :- 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
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 Qualifications
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 ***k - ***k per annum including any bonuses or variable pay ***/hr *** 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.
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at