Envista 首席数据工程师
Envista Principal Data Engineer
职位描述：
职位概述：
首席数据工程师设计、构建和管理安全、可扩展且高性能的企业数据解决方案，以支持高级分析、商业智能和运营决策。该角色在整个项目生命周期中担任技术权威，将业务需求转化为可持续的架构，建立标准，并在云、本地和混合环境中实现高质量数据的可靠访问。该职位在创新与安全、合规性、互操作性和长期平台可持续性之间取得平衡，同时影响跨团队的技术和业务利益相关者。
主要职责和要求：
- 设计、构建和优化用于结构化和非结构化数据的可扩展数据管道，包括可靠的ETL/ELT流程，将数据从多个来源传输到数据仓库和数据湖。
- 开发和维护企业数据模型、集成框架、存储解决方案和架构模式，覆盖云、本地和混合环境。
- 定义和维护与长期业务目标和企业目标对齐的数据解决方案架构和治理框架。
- 在整个项目生命周期中提供技术领导，包括架构评审、解决方案验证、性能调优、部署策略和解决复杂技术问题。
- 建立并推广架构原则、工程标准和最佳实践，以提高可扩展性、可靠性、互操作性和一致性。
- 在多样化的系统和全球数据环境中实施数据质量、血缘关系、元数据管理、备份、可访问性、安全性和治理实践。
- 与IT安全和合规团队合作，嵌入适当的控制措施，并支持符合适用的法规和内部要求，包括GDPR、HIPAA和SOX。
- 与业务利益相关者、数据科学家、分析师、BI团队和IT合作伙伴协作，将业务需求转化为清晰的技术设计和可访问的数据解决方案。
- 清洗、转换和整理原始数据为可用格式，并创建分析工具或程序，以支持分析、报告和明智的决策。
- 评估和优化现有数据系统，以提高性能、可靠性、速度和可维护性，同时管理跨多系统的复杂性。
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Job Description:
JOB SUMMARY:
The Principal Data Engineer designs, builds, and governs secure, scalable, and high-performing enterprise data solutions that support advanced analytics, business intelligence, and operational decision-making. This role serves as a technical authority across the project lifecycle, translating business needs into sustainable architectures, establishing standards, and enabling reliable access to high-quality data across cloud, on-premises, and hybrid environments. The position balances innovation with security, compliance, interoperability, and long-term platform sustainability while influencing technical and business stakeholders across teams.
PRIMARY DUTIES AND RESPONSIBILITIES:
- Design, build, and optimize scalable data pipelines for structured and unstructured data, including reliable ETL/ELT processes that move data from multiple sources into data warehouses and data lakes.
- Develop and maintain enterprise data models, integration frameworks, storage solutions, and architectural patterns across cloud, on-premises, and hybrid environments.
- Define and maintain data solution architecture and governance frameworks that align technical decisions with long-term business objectives and enterprise goals.
- Provide technical leadership throughout the project lifecycle, including architecture reviews, solution validation, performance tuning, deployment strategy, and resolution of complex technical issues.
- Establish and promote architecture principles, engineering standards, and best practices across development teams to improve scalability, reliability, interoperability, and consistency.
- Implement data quality, lineage, metadata management, backup, accessibility, security, and governance practices across diverse systems and global data environments.
- Partner with IT security and compliance teams to embed appropriate controls and support adherence to applicable regulatory and internal requirements, including GDPR, HIPAA, and SOX.
- Collaborate with business stakeholders, data scientists, analysts, BI teams, and IT partners to translate business needs into clear technical designs and accessible data solutions.
- Clean, transform, and organize raw data into usable formats and create analytical tools or programs that support analysis, reporting, and informed decision-making.
- Evaluate and optimize existing data systems to improve performance, reliability, speed, and maintainability while managing complexity across multi-cloud and hybrid platforms.
- Evaluate emerging technologies, make informed recommendations under uncertainty, and apply innovative solutions that balance business value with security, compliance, and operational risk.
- Build strong cross-functional relationships, communicate complex technical concepts clearly to technical and non-technical audiences, and maintain stakeholder alignment throughout delivery
- Adapt technical approaches and priorities as technologies and business needs evolve while sustaining data quality, platform stability, and delivery commitments.
Job Requirements:
MINIMUM REQUIREMENTS:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field –or- equivalent experience.
- 10+ years of experience in data engineering.
- Expertise in designing scalable data solutions using modern architecture patterns, including microservices, event-driven architecture, and API-first design.
- Proficiency with ETL/ELT tools, data warehousing, big data technologies, and database systems.
- Proficiency in SQL and Python
- Strong knowledge of enterprise data architecture, data modeling, integration frameworks, and data governance practices.
- Experience with cloud platforms such as Azure, AWS, or GCP and data services such as Snowflake or Databricks.
- Experience designing and supporting solutions across cloud, on-premises, or hybrid environments.
- Familiarity with security best practices and applicable compliance standards, including GDPR, HIPAA, and SOX.
- Demonstrated ability to lead architecture reviews and provide technical direction without direct authority.
- Strong analytical and problem-solving skills, including experience with performance tuning and optimization.
- Effective written and verbal communication skills, with the ability to explain complex technical concepts, requirements, and results to technical and non-technical stakeholders.
PREFERRED SKILLS & EXPERIENCE:
- Demonstrated success delivering secure, scalable, and reliable enterprise data solutions that meet business and operational needs.
- Experience driving standardization and governance across diverse systems, teams, and global environments.
- Ability to connect architecture decisions to long-term business objectives and evaluate tradeoffs across innovation, compliance, security, cost, and sustainability.
- Strong collaboration and influencing skills, with experience building alignment across IT, BI, analytics, security, compliance, and business teams.
- Ability to make sound, timely decisions in ambiguous or evolving technical environments.
- Intellectual curiosity and a practical approach to evaluating and applying emerging technologies.
- Change agility and the ability to adapt to evolving technologies, priorities, and business needs while maintaining delivery focus.
Target Market Salary Range:
Actual compensation packages take into account a wide range of factors that are unique to each candidate, including but not limited to geographic location; skill sets; relevant education and certifications; depth of experience; performance; and other business and organizational needs. The disclosed reasonable estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Envista, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The total compensation package for this position may also include an annual performance bonus, medical/dental/vision benefits, 401K match, and/or other applicable compensation plans.
$159,500 - $194,900Operating Company:
CorporateEnvista is a global leader in the dental industry, uniting more than 30 trusted brands—including DEXIS, Kerr, Nobel Biocare, and Ormco—under one mission: partnering with dental professionals to improve patients’ lives. With a heritage of category-defining innovation, our brands have shaped modern dentistry: Nobel Biocare introduced the first dental implant, Ormco is a pioneer in both traditional and digital orthodontics, DEXIS has long been at the forefront of 2D, 3D and intraoral imaging, and Kerr has supported clinicians for over 135 years. Our high-performing culture is underpinned by our CIRCLe Values and the Envista Business System. Guided by these, we deliver a comprehensive portfolio of technologies, consumables, and services that empower clinicians to provide confident, efficient care—today and for the future. Learn more at .
Envista and all Envista Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The “EEO is the Law” poster is available at:
Envista and its family of companies (Envista) will not accept unsolicited resumes from any source other than directly from a candidate. Envista will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (Agency) to have been referred by the Agency free of charge and Envista will not pay a fee for any placement resulting from the receipt such unsolicited resumes. An Agency must obtain advance written approval from Envista's internal Talent Acquisition or Human Resources team to submit resumes, and then only in conjunction with a valid fully-executed contract approved by the Global Talent Acquisition leader and in response to a specific job opening. Envista will not pay a fee to any Agency that does not have such agreement and written approval in place.
Originally posted on Himalayas