Summit Utilities Inc is seeking a Senior Data Engineer to guide the design, deployment, and ongoing modernization of enterprise data pipelines and platform standards across cloud and on-prem environments. The role includes mentoring data engineers and supporting regulatory filings, and is a hybrid position based in Arkansas with options in Little Rock, Fort Smith, or Fayetteville.
Responsibilities
- Oversee full lifecycle of enterprise-scale pipeline architecture spanning cloud and on-prem environments, defining storage models, partitioning approaches, and orchestration patterns.
- Establish the data engineering roadmap and technical direction for core domains, leading platform modernization efforts and authorizing production deployments of pipelines.
- Set Python and SQL development standards across the team, covering advanced transformation logic, in-house frameworks, and reusable libraries for ingestion and integration.
- Design cloud data services on Azure, AWS, and Microsoft Fabric using infrastructure-as-code, with monitoring, alerting, and governance components.
- Define platform wide standards for error handling, logging, alerting, data validation, and data lifecycle management across all enterprise data flows.
- Direct cross-system integration efforts with SAP, GIS, SCADA, AMI, and external vendor systems through APIs, secure file exchanges, and cloud-native connectors.
- Act as a formal mentor for Data Engineers I–III through code reviews and design sessions, providing technical career coaching; may supervise one or two contractors or junior staff.
- Collaborate with Data Architects, Analytics Engineers, and IT leadership on platform standards and tooling decisions, shaping the long-term data engineering roadmap.
- Assess and select technologies for ingestion, orchestration, observability, and CI/CD; lead adoption and rollout across the data engineering team.
- Support regulatory filings with PHMSA, FERC, and state PUC, ensuring pipeline integrity data management with a reliable and auditable data infrastructure.
- Investigate complex, system-wide performance and reliability issues; lead troubleshooting efforts and recommend durable architectural solutions.
Requirements
- Bachelor's degree in computer science, information systems, engineering, or a related field is preferred; an equivalent mix of education and relevant experience will be considered.
- 8 to 12 years of experience in data engineering, software development, or enterprise data integration roles.
- Extensive hands-on experience designing, building, and operating cloud data pipelines at enterprise scale.
- Proven track record delivering scalable enterprise data solutions on Azure and/or AWS.
- Strong experience integrating data from relational systems, cloud-native services, SAP, GIS, SCADA, and AMI.
- Demonstrated leadership delivering cross-functional data engineering programs and establishing development standards.
- Hands-on experience with infrastructure-as-code, CI/CD, source control, and automated deployment workflows.
- Master’s degree in a quantitative or technical field is preferred.
- Advanced mastery of Python and SQL, including complex transformation logic, performance tuning, and reusable framework development.
- Expert cloud architecture skills across Azure and/or AWS, covering data services, networking, security, and cost optimization.
- Deep expertise designing end-to-end pipeline architecture for enterprise scale, including storage model design, partitioning strategies, and orchestration patterns.
- Proven leadership in cross-system integration spanning SAP, GIS, SCADA, AMI, and customer data systems.
- Hands-on experience with infrastructure-as-code tools (Terraform, Bicep, or similar) and platform monitoring and governance frameworks.
- Strong understanding of CI/CD, version control, and automated testing for data pipelines and platform components.
- Proven ability to design resilient, scalable, and cost-efficient data solutions, including capacity tuning in Microsoft Fabric and other cloud platforms.
- Skilled at translating regulatory and business requirements into durable, well-governed data infrastructure; experience supporting PHMSA, FERC, and state PUC filings is preferred.
- Proven mentor and peer leader with experience guiding Data Engineers I–III through code reviews, design sessions, and career development.
- Strong written and verbal communication skills with the ability to influence technical and business stakeholders, including senior leaders at VP or Director level.
- In-depth knowledge of natural gas distribution and utility data systems such as billing, AMI, SCADA, SAP, GIS, and pipeline integrity data management.
- Strong problem solving and root cause analysis skills for complex distributed systems.
- Team oriented and collaborative, aligned with Summit's PEAKS values.
Technologies
- Python
- SQL
- Azure
- AWS
- Microsoft Fabric
- Terraform
- Bicep
- CI/CD
- SAP
- GIS
- SCADA
- AMI
- APIs
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Competitive compensation
Position Summary
Summit Utilities seeks a Senior Data Engineer to lead the design, implementation, and ongoing modernization of enterprise data pipelines and platform standards that support operational, analytical, and regulatory workloads across the company. The role carries program level ownership of end-to-end pipeline architecture across cloud and on prem environments, defines technical direction for storage models, partitioning, orchestration, and cross-system integration, and approves pipeline deployments to production. The Senior Data Engineer serves as a formal mentor for Data Engineers I–III, partners with Data Architects, Analytics Engineers, and IT leadership on platform standards, evaluates technologies, and supports regulatory filings with reliable, well-governed data infrastructure. Ideal candidates will have 8–12 years of experience with advanced Python and SQL mastery, deep Azure and AWS cloud architecture expertise, infrastructure-as-code, CI/CD, and a proven track record delivering scalable enterprise data solutions in regulated settings.
