Dynatron Software, Inc. · 11 hours ago
Data Architect
United States
Full-time
Remote
Senior Level
$140K/yr - $180K/yr
7+ years expDynatron Software, Inc. is transforming the automotive service industry with intelligent SaaS solutions. They are seeking an experienced Data Architect to design, govern, and optimize the enterprise data architecture, enabling scalable analytics and real-time data processing across the business.
AnalyticsBusiness IntelligenceInformation TechnologySoftware
Responsibilities
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
Ensure performance, usability, and long-term maintainability of data schemas
Architect real-time ingestion and event-driven pipelines using Kafka, Kinesis, Pulsar, or Azure Event Hub
Implement CDC frameworks such as Debezium, Fivetran, or StreamSets
Design low-latency, high-throughput streaming architectures for operational and analytical use cases
Build real-time data models supporting live analytics and data-driven decision-making
Design ML-ready datasets, feature stores, and reproducible data pipelines
Partner with ML and Data Science teams to enable production-grade model workflows
Integrate modern AI/ML platform capabilities (e.g., Snowflake Cortex, Databricks Feature Store, AWS Bedrock)
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
Build data pipelines using ADF, Databricks Workflows, AWS Glue, Step Functions, or equivalent technologies
Optimize compute and storage performance leveraging Delta, Iceberg, Parquet, and lakehouse patterns
Implement governance controls, including RBAC, masking, tokenization, and secure data sharing
Architect secure data environments aligned with GDPR, CCPA, PCI, SOC 2, and other regulatory frameworks
Implement encryption, masking, hashing, and IAM/RBAC policies
Design retention, lineage, and access governance for sensitive data
Collaborate with Compliance to ensure proper handling of PII/PHI and protected datasets
Define enterprise-wide modeling standards, data contracts, and schema evolution guidelines
Establish reference architectures and curated “golden” datasets
Create SLAs/SLOs across data domains to ensure reliability and quality
Enforce adherence to governance, quality, and architectural frameworks
Mentor data engineers and guide architectural best practices
Lead design reviews and cross-functional architectural discussions
Partner closely with product, engineering, ML, and analytics teams to ensure alignment on data strategy
Communicate risks, trade-offs, and long-term architectural impact with clarity
Ensure data systems meet SLAs and scale with business demand
Drive observability, monitoring, and alerting across data platforms
Reduce technical debt through proactive governance and architectural discipline
Support the full data lifecycle: design → build → deployment → governance
Qualification
Required
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
Strong understanding of compute scaling, storage layers, and cloud-native services
Strong documentation skills, including architectural diagrams, ADRs, and playbooks
Excellent communication skills, with the ability to influence at all levels
Proven mentorship, leadership, and cross-functional collaboration
Strategic thinker with a high degree of ownership and accountability
Preferred
Experience with data mesh and domain-driven design
Experience with Snowflake Cortex, Databricks AI, or AWS Bedrock
Expertise in lakehouse architectures (Delta, Iceberg, Hudi)
Background in large-scale modernization or cloud migration initiatives
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 9 paid holidays
Remote-first culture
Company
Dynatron Software, Inc.
At Dynatron Software, we help automotive service departments increase revenue and profitability with our suite of automotive fixed operations data analytics software, comparative insights, and expert coaching.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Leigh Silver
Chief Executive Officer
Tom Ottman
CTO
Recent News
Company data provided by crunchbase