Data Architect

27 minutes ago

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Dynatron Software, Inc.

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Automotive • SaaS • Analytics

Dynatron Software, Inc. is a company that combines advanced analytics software with expert coaching to help automotive service departments maximize their revenue opportunities. Their product suite includes various solutions like PriceSmart for optimizing labor and part pricing, FileSmart for enhancing warranty labor rates and parts markup, SellSmart for increasing service sales to existing customers, and MarketSmart for boosting service department traffic through strategic marketing campaigns. With a focus on increasing profitability, Dynatron collaborates closely with dealerships to identify and capitalize on hidden revenue streams using their proprietary analytics and extensive repair order database.

51 - 200 employees

Founded 1999

☁️ SaaS

📋 Description

• Design scalable conceptual, logical, and physical data models supporting OLTP, OLAP, real-time analytics, and ML workloads • Architect modular, domain-driven data structures for multi-domain analytics • Apply modern modeling techniques, including 3NF, Dimensional Modeling, Data Vault, Medallion Architecture, and Data Mesh principles • Define canonical models, conformed dimensions, and enterprise reference datasets • Architect real-time ingestion and event-driven pipelines using Kafka, Kinesis, Pulsar, or Azure Event Hub • Design low-latency, high-throughput streaming architectures for operational and analytical use cases • Design ML-ready datasets, feature stores, and reproducible data pipelines • Architect for drift detection, data quality monitoring, lineage visibility, retraining workflows, and model governance • Design scalable architectures using Snowflake, Databricks, or other cloud-native platforms

🎯 Requirements

• 7-10+ years of experience as a Data Architect or Senior Data Engineer in enterprise-scale environments • Deep hands-on experience with Snowflake, Databricks, Azure Data Factory, AWS Glue, Bedrock, Redshift, BigQuery, or Teradata • Strong SQL and Python/Scala skills, with expertise in schema design and metadata management • Experience building streaming architectures with Kafka, Kinesis, or Event Hub • Knowledge of ML/AI pipelines, feature stores, vector databases, and modern AI platform tooling • Expertise in encryption, masking, tokenization, IAM, and RBAC • Understanding of PII/PHI requirements and regulatory standards • Experience implementing secure patterns across cloud platforms • Experience designing distributed systems across AWS, Azure, or GCP

🏖️ Benefits

• Comprehensive health, vision, and dental insurance • Employer-paid short- and long-term disability and life insurance • 401(k) with competitive company match • Flexible vacation policy and 11 paid holidays • Remote-first culture