Lead Enterprise Applications Engineer

Cox Automotive; Atlanta (GA); Hybrid; USD 112,000 - 186,000; Full time

Benefits offered by this job

Flexible Work Option

Hybrid - Ability to work remotely part

Job summary

Cox Automotive in the United States seeks a Lead Data Engineer (Finance Technology) to join the Enterprise Finance Technology team. This role designs, builds, and optimizes data architecture, pipelines and enterprise applications that power strategic decision-making across the organization.

You will collaborate with Architecture, Engineering, Operations, and Finance partners to translate requirements into scalable implementations, configure and extend applications, optimize performance and

Responsibilities

• Collaborates with Architecture, Engineering, Technical Operations and Quality teams to translate requirements into scalable implementations.
• Architects, develops, builds and implements highly secure, compliant, resilient, cost-effective and high-performing solutions for assigned groups or disciplines.
• Performs application configuration, extension, integration and performance tuning, including query, pipeline and warehouse workload optimization.
• Designs, builds and maintains scalable data pipelines and ETL/ELT workflows that integrate enterprise financial applications with data warehouses, relational databases and BI platforms.
• Designs and maintains data models, warehouse structures and semantic layers that support financial consolidation, planning, forecasting, reporting and self-service analytics.

Job description

Company Cox Automotive - USA Job Family Group

Information Technology Job Profile

Lead Enterprise Applications Engineer Management Level

Manager - Non People Leader

Flexible Work Option

Hybrid - Ability to work remotely part of the week

No

Work Shift Day

Compensation Compensation includes a base salary in the range of $111,500.00 - $185,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

Cox Automotive is seeking a Lead Data Engineer (Finance Technology) to join our Enterprise Finance Technology team. Internally, this position is classified as a Lead Enterprise Applications Engineer. This role is responsible for designing, building, and optimizing data architecture, pipelines, and enterprise applications that power strategic decision-making across the organization.

The Lead Enterprise Applications Engineer architects, develops, implements and supports secure, compliant, resilient, cost-effective and high-performing enterprise application and data solutions for the Enterprise Finance Technology organization, including the data architecture, pipelines and applications that support financial consolidation, planning, forecasting and reporting.

The role collaborates across Architecture, Engineering, Technical Operations and Quality, and with Finance, Accounting and FP&A partners, to translate business and technical requirements into scalable implementations, design data models and integrations, configure and extend applications, optimize performance, and resolve complex production, pipeline and integration issues.

This position is accountable for making financial data accessible, trusted and actionable through sound data modeling, governance and quality practices. It also evaluates emerging technologies and uses infrastructure, platform cost, utilization and performance insights to guide design and scaling recommendations.

Primary Responsibilities

• Collaborates with Architecture, Engineering, Technical Operations and Quality teams to develop detailed application implementation solutions.
• Architects, develops, builds and implements highly secure, compliant, resilient, cost-effective and high-performing solutions for assigned groups or disciplines.
• Performs application configuration, extension, integration and performance tuning, including query, pipeline and warehouse workload optimization.
• Designs, builds and maintains scalable data pipelines and ETL/ELT workflows that integrate enterprise financial applications with data warehouses, relational databases and business intelligence platforms.
• Designs and maintains data models, warehouse structures and semantic layers that support financial consolidation, planning, forecasting, reporting and self-service analytics.
• Ensures data integrity through automated quality checks, regression testing, validation frameworks and anomaly monitoring, and customizes data feeds and mappings with internal and external data providers.
• Orchestrates, schedules and monitors production data workloads, establishing observability, alerting and recovery procedures that meet data availability and freshness commitments.
• Applies data governance, access control, lineage and retention standards to financial data, ensuring solutions satisfy security, privacy, audit and compliance requirements.
• Develops, builds, configures, customizes, integrates and tests solutions.
• Investigates opportunities to use new and emerging technologies, including advances in AI, machine learning, data science and CPM platforms.
• Applies AI-assisted development tools to accelerate solution development, data validation and analysis workflows.
• Develops and delivers key reporting metrics and insights related to the cost and utilization of infrastructure services, and supports dashboard and KPI reporting development using Power BI, Tableau or similar business intelligence tools.
• Ensures team-wide application of standard operating procedures for development, deployment, support, break-fix and systems management, and contributes to application and data design standards, code and pipeline review practices, and technical mentoring across the team.
• Assesses usage and utilization trends and recommends design and implementation changes to scale infrastructure architecture.
• Collaborates with others to troubleshoot and resolve escalated production, integration or application issues.
• Applies analytical thinking, requirements analysis, software installation and support, system and technology integration, and technical troubleshooting capabilities at the higher end of the Skilled proficiency level.
• Demonstrates Collaborates with Intent, Drives Innovation, Focuses on Execution, Influences Positive Outcomes and Strives for Excellence at the higher end of the Skilled profi