Data Architect

Propertyvalue Quantum Technologies Llc

Renton, United States of America

7 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Compensation

$ 162K

Renton, United States of America

API

Cloud Database

Data Architecture

Data Cleansing

Data Governance

Data Flow Control

Data Streaming

Tableau

Data Processing

Data Storage Technologies

Data Ingestion

Snowflake

Star Schema

Real Time Data

Kafka

Data Pipelines

Apache Beam

Confluent

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.