Database Engineer 3
DENSO North AmericaMaryville, TN, USjob_description.job_card.variable_hours_ago
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job_description.job_card.job_descriptionConduct 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 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 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 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. 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 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 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 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)
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
Release Manager
Domain Role Capabilities :
Domain Editor
Primary Accountabilities :
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 :
Leadership Responsibility :
Technical and role-based leadership responsibility including :
Preferred Qualifications :
Benefits Summary :
Annual Salary : $94,000-$117,000
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Database Engineer • Maryville, TN, US
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