Dynatron Software, Inc. · 9 hours ago
Data Engineering Manager
Dynatron Software, Inc. is transforming the automotive service industry with intelligent SaaS solutions. They are seeking an experienced Data Engineering Manager to lead the data engineering organization, focusing on building and evolving data platforms for analytics, reporting, machine learning, and AI-driven products.
AnalyticsBusiness IntelligenceInformation TechnologySoftware
Responsibilities
Own and execute Dynatron’s data engineering strategy aligned with business objectives and product roadmaps
Evaluate and adopt emerging data technologies while balancing performance, scalability, and cost
Ensure data platforms are built for long-term sustainability, extensibility, and operational excellence
Lead, mentor, and scale a high-performing data engineering organization
Set clear expectations, drive accountability, and foster a culture of continuous improvement
Support career growth through coaching, feedback, and merit-based development opportunities
Oversee the design, implementation, and operation of data warehouses, data lakes, transactional databases, and pipelines
Guide development of ETL/ELT workflows, APIs, real-time data streams, and analytics layers
Partner closely with Data Science and ML teams to enable production-grade AI and ML workflows
Lead execution of data initiatives, ensuring on-time delivery within scope and budget
Establish and monitor KPIs, SLAs, and operational metrics across data systems
Identify opportunities to improve reliability, performance, and developer productivity
Act as a trusted partner to Product, Engineering, Analytics, and Executive leadership
Translate complex technical concepts into clear business implications and trade-offs
Proactively communicate risks, progress, and long-term impact
Ensure data platforms adhere to security, privacy, and compliance requirements (SOC 2, PCI, GDPR, CCPA, etc.)
Implement governance standards across data quality, access control, lineage, and retention
Qualification
Required
10+ years of hands-on experience in data engineering, with 4+ years leading teams and managing budgets (~$2M annually)
Proven experience designing and operating modern data platforms at scale
Strong technical foundation across data architecture, pipelines, warehousing, and streaming systems
Hands-on experience with tools such as Airflow, Fivetran, Kafka, dbt, and modern data warehouses (Snowflake, Databricks, Redshift)
Strong proficiency in Python, SQL, and data modeling techniques
Experience building and operating data platforms on AWS
Solid understanding of real-time data processing, ML/AI enablement, and analytics architectures
Demonstrated ability to lead, inspire, and hold teams accountable
Strategic mindset with the ability to align data initiatives to business outcomes
Strong project management and execution discipline
Clear, confident communicator with technical and non-technical stakeholders
Ability to challenge ideas constructively and navigate differing viewpoints professionally
High integrity, strong sense of urgency, and ownership mentality
Benefits
Comprehensive health, dental, and vision insurance
Employer-paid disability and life insurance
401(k) with competitive company match
Flexible vacation policy and 11 paid holidays
Professional development opportunities
Remote-first culture with home office setup support
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.
Funding
Current Stage
Growth StageRecent News
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