Manager Software & Data Engineering

Job Summary

Grow your career with a company built on Safety, Integrity, Teamwork, and Stewardship. As a Software & Data Engineering Manager at Dolese, you will serve as a hands‑on technical leader responsible for managing and developing a high‑performing team of software engineers, data engineers, and analysts. This role supports software development and data engineering efforts, overseeing the delivery of software solutions and data pipelines, as well as enabling analytics and business intelligence capabilities across the organization.

• Stability & Legacy:
  Be part of a company with more than a century of success, operational excellence, and a strong commitment to our employees.
• Growth Opportunities:
  Lead technology and data initiatives, build strong partnerships with business and IT stakeholders, and grow as a people leader while expanding how software, data, and analytics support business needs.
• Impactful Work:
  Your leadership delivers reliable software solutions, trusted data platforms, and meaningful analytics that improve decision‑making, enable operational efficiency, and support strong business outcomes across the organization.
• Supportive Culture:
  Our employees support one another and our customers through our service values:
  Champion Kindness, Incite Enthusiasm, Build Relationships, and Provide Innovative Solutions.

• Lead, manage, and develop a cross‑functional team of software engineers and data engineers/analysts, fostering a culture of ownership, collaboration, and continuous improvement.
• Set clear performance expectations, provide regular coaching and feedback, and conduct formal performance reviews aligned with organizational standards.
• Identify skill gaps and build development plans that advance proficiency across software engineering, data engineering, cloud platforms, and BI tools.
• Manage team capacity and workload, balancing software product development, data engineering initiatives, and operational support demands.
• Recruit, onboard, and retain top engineering talent in alignment with the organization’s technology roadmap and growth objectives.
• Serve as an escalation point for complex technical challenges, architectural decisions, stakeholder conflicts, and delivery blockers.
• Oversee the design, development, testing, and deployment of internal software applications, APIs, integrations, and automation tools.
• Enforce software engineering best practices including code reviews, version control standards (Git), CI/CD pipelines, unit testing, and secure coding principles.
• Provide input and technical guidance on architectural decisions related to application design, system integrations, microservices, and cloud‑native development patterns.
• Ensure all software deliverables meet quality, performance, security, and maintainability standards before release.
• Manage the software development backlog in collaboration with business and IT stakeholders, prioritizing features, bug fixes, and technical debt resolution.
• Drive adoption of Dev Ops practices, including automated testing, infrastructure as code (IaC), and deployment pipeline management.
• Oversee the design and delivery of data pipelines, ETL/ELT workflows, and data integration solutions supporting business applications and reporting needs.
• Ensure the reliability, performance, and maintainability of data ingestion, transformation, and delivery processes supporting analytics and reporting.
• Partner with the Data Architect to implement and support enterprise data platform capabilities on cloud technologies such as Azure Synapse, Microsoft Fabric, Databricks, or Snowflake.
• Maintain governance over data models, schema design, and pipeline documentation in alignment with enterprise data standards.
• Remain hands‑on as needed to support the team on complex pipeline builds, data model design, and platform configuration challenges.
• Oversee the delivery of dashboards, reports, and analytical products, ensuring accuracy, timeliness, and alignment with business requirements.
• Champion the adoption of self‑service BI capabilities, working with the team to maintain certified Power BI datasets, datamarts, and report templates.
• Define and…