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Database Engineer 3

Database Engineer 3

DENSO North AmericaMaryville, TN, US
3 hours ago
Job type
  • Full-time
Job description

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

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