Data Architect

About Dynatron
Dynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealerships and service departments. Our proprietary analytics and workflow tools empower service leaders to boost profitability, enhance customer satisfaction, and unlock operational excellence. With accelerating growth, strong customer traction, and increasing market demand, we’re scaling, and we’re just getting started.
The Opportunity
We’re looking for an experienced, visionary Data Architect to join our expanding data organization. This is a critical role responsible for designing, governing, and optimizing the enterprise data architecture that powers scalable analytics, real-time data processing, AI/ML workflows, and secure data operations across the business.
You will architect end-to-end data ecosystems, spanning streaming, warehousing, lakehouse, governance, and ML enablement, to ensure high performance, extensibility, and long-term sustainability. The ideal candidate is deeply technical, hands-on with modern cloud data platforms, and highly skilled in data modeling, security, streaming architectures, and enterprise guardrails. If you thrive in complexity, think strategically, and deliver data foundations that scale, this role offers the opportunity to shape Dynatron’s data future.
What You’ll Do
Data Architecture & Modeling

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
Real-Time & Streaming Architecture

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
ML/AI Data Architecture

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
Cloud Data Platform Architecture

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
Data Security, Privacy & PII Protection

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
Enterprise Governance & Guardrails

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
Leadership, Mentorship & Collaboration

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
Delivery, Scalability & Operational Excellence

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
What You Bring
Technical Expertise

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
Security & Privacy

Expertise in encryption, masking, tokenization, IAM, and RBAC
Understanding of PII/PHI requirements and regulatory standards
Experience implementing secure patterns across cloud platforms
Cloud Architecture

Experience designing distributed systems across AWS, Azure, or GCP
Strong understanding of compute scaling, storage layers, and cloud-native services
Soft Skills & Leadership

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
Nice To Have

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
Why Dynatron

Opportunity to architect the data foundation of a rapidly growing SaaS organization
High-impact role with visibility across engineering, product, ML, analytics, and executive teams
Values-driven culture built on accountability, urgency, positivity, and delivering results
Remote-first environment offering flexibility and autonomy
Compensation
Base Salary: $200,000 - $220,000/yr
Benefits Summary

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
Ready to shape the future of Dynatron’s data architecture and build scalable, intelligent systems that power our next stage of growth? Join us as we build the data foundation for extraordinary outcomes.