Database Engineer 3

Job Summary:

DENSO North America Enterprise Solutions Group is transforming its enterprise analytics and business intelligence capabilities through a comprehensive Data Lakehouse platform built on Databricks. This strategic initiative involves migrating legacy data warehouses, reporting systems, and analytical workloads from on-premise platforms (SQL Server data warehouses, Oracle analytics, iSeries reporting) and current BI tools (DOMO, Qlik) into a unified, governed analytical platform. The organization manages complex analytical data flows, dimensional modeling, reporting datasets, and advanced analytics capabilities across multiple business domains.

The E3 Data Engineer role serves as a technical leader in building and maintaining enterprise-scale analytical data solutions. This position focuses on designing data warehouse architectures, implementing ETL/ELT processes, creating dimensional models, and enabling self-service analytics within the modern Data Lakehouse framework. The role bridges traditional data warehousing and business intelligence expertise with cutting-edge lakehouse technologies, working within established governance frameworks to deliver scalable, performant analytical solutions that support strategic business decision-making across the enterprise.

Data Lakehouse Role Responsibilities:

Based on project needs and organizational priorities, the E3 Data Engineer may be assigned to fulfill one or more of the following platform or domain roles:

Platform Role Capabilities:

Platform Engineer

• Build and maintain core platform infrastructure and data pipelines
• Support catalog automation and orchestration across domains
• Monitor job performance and compute resource usage
• Collaborate with Unity Catalog admins for infrastructure provisioning

Platform Data Scientist

• Conduct advanced analysis and modeling across domains using certified data
• Build and maintain ML models within the Databricks ML platform
• Share insights and collaborate with domain teams and governance leads

Release Manager

• Coordinate promotion of notebooks, jobs, and data objects between environments
• Oversee change control and deployment workflows
• Manage versioning and release calendar coordination
• Validate content before production deployment

Domain Role Capabilities:

Domain Editor

• Develop data transformations and ingestion logic for specific domains
• Write and maintain bronze/silver dataset pipelines
• Coordinate with domain stewards for data certification processes
• Maintain documentation and versioning of domain datasets

Primary Accountabilities:

• Lead data migration projects from legacy database systems (SQL Server, Oracle, DB2), DOMO, and other existing platforms to Databricks Data Lakehouse
• Design and implement medallion architecture (Bronze/Silver/Gold) following established governance standards
• Lead hybrid data architecture spanning on-premise and cloud systems across multiple database platforms
• Architect scalable ingestion pipelines using Databricks workflows, Delta Live Tables, and other platform-native tools
• Design enterprise-scale data transformation pipelines with emphasis on real-time and batch processing capabilities
• Collaborate with Domain Stewards and Approvers to ensure data certification and compliance with Unity Catalog RBAC
• Implement data quality frameworks and monitoring solutions across the lakehouse platform
• Mentor junior engineers and provide technical guidance on modern data platform best practices
• Evaluate and recommend new data sources for platform integration, including structured and unstructured data assessment
• Drive automation initiatives to reduce manual processes and improve operational efficiency
• Support and build replication and advanced data movement technologies between disparate systems
• Organize and coordinate with team members to resolve complex technical issues and project deliverables
• Utilize change management tools to document and gate all changes that could affect production systems
• Building advanced tools to automate data collection and processing workflows
• Utilize source control tools and best practices while developing enterprise-scale solutions
• Drive continuous learning initiatives and knowledge transfer within the team and across domains
• Find unique solutions to difficult problems involving complex data integration challenges
• Model and document database schemas and processes for both legacy and modern architectures
• Supply support and research for future technologies, processes, and platform capabilities
• Support non-inhouse system management through collaboration with peers and external partners
• Provide support and respond to production-down emergencies 24/7 with advanced troubleshooting capabilities
• Work in a hybrid agile environment supporting both platform administration and domain-specific initiatives
• Provide advanced database and distributed system performance tuning and optimization recommendations
• Demonstrates accountability for technical decision making and project outcomes
• Adapt to assigned platform or domain roles as determined through agile sprint planning and organizational needs
• Maintain role separation and compliance with the Mutually Exclusive Roles Matrix to ensure proper governance
• Participate in role-based workflows including data certification processes and governance activities
• Collaborate across role boundaries while maintaining appropriate separation of duties and audit compliance
• Support agile development processes for both platform administration and domain-specific engineering initiatives
• Transition between roles as project phases and organizational priorities evolve, ensuring proper knowledge transfer
• Document role-specific activities and maintain clear audit trails for governance and compliance purposes
• Performs other duties as assigned.

Minimum Level of Education:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A combination of degree and experience can be considered.

Experience:

5 years in software development, data engineering, database administration, IT, or a related field (including internships or coursework).

Minimum Level of Knowledge and Skills Required:

• Advanced knowledge of database systems (SQL Server, Oracle, DB2, or other enterprise platforms) and data warehouse architectures
• Strong SQL programming skills with experience across multiple database platforms and complex query optimization
• Data integration and ETL development experience using various tools and methodologies
• Advanced knowledge of database management systems throughout the entire development lifecycle
• Programming experience in at least one modern language (Python, Scala, Java, or C#)
• Understanding of data architecture patterns and willingness to learn modern lakehouse concepts
• Ability to work well with a team of peers on complex, enterprise-scale projects
• Provide excellent customer experience across internal and external stakeholders
• Expert knowledge of core SQL language with experience across multiple database dialects and platforms
• Knowledge of database sizing, monitoring, and performance optimization
• Experience with database upgrades, migrations, and version management
• Experience managing and monitoring multiple database servers and instances
• Experience with High Availability, Disaster Recovery, and backup/recovery technologies
• Experience with database backup, recovery, and data lifecycle management tools and patterns
• Experience with DevOps processes and tools or willingness to learn CI/CD practices
• Strong analytical and problem-solving skills with attention to detail in complex systems
• Excellent verbal and written communication skills in English for cross-functional collaboration
• Ability to work independently and as part of a team in a dynamic, multi-role environment
• Adaptability and eagerness to learn new technologies and methodologies
• Understanding of data governance principles or willingness to learn compliance frameworks

Leadership Responsibility:

Technical and role-based leadership responsibility including:

• Leading complex migration projects and mentoring junior team members
• Serving in assigned platform or domain roles with appropriate authority and accountability
• May lead cross-functional project teams while maintaining governance compliance
• Responsible for role-specific deliverables and stakeholder communication

Preferred Qualifications:

• Enterprise database administration certification (SQL Server, Oracle, DB2, or equivalent)
• Programming with robust depth of programming knowledge across multiple languages
• Understanding of process mapping, business analysis, and design principles
• Experience with workflow tools, databases, and APIs
• Experience with Qlik and other BI/analytics platforms
• Proficiency in SQL across multiple database platforms and query optimization
• Cloud platform exposure (AWS/Azure) or willingness to learn
• Agile/Scrum methodology experience or willingness to learn

Benefits Summary:

• Health, Dental, Vision, Prescription Drug plans
• Life and Accidental Death & Dismemberment Insurance
• Flexible Spending Account
• Employee Assistance Program
• 401K with 4% company match
• Bonus Program
• Wellness Program
• Onsite Fitness Center (vary by location)
• Tuition Reimbursement
• Career Development and Ongoing Training
• Paid holidays and vacation
• Cafeteria and food markets (vary by location)
• Volunteer opportunities
• Employee recognition (employee and milestone events)

Annual Salary: $94,000-$117,000