Data Engineer Manager

Job Description

Develops or modifies program logic for new applications or software which may include coding, testing, debugging, documenting, implementing and maintaining software applications. Analyzes requirements, and maintains, tests and integrates application components. Programmer Analyst roles should be assigned to this job family.

Accountabilities

• Design and implement scalable data pipelines for structured and unstructured data.
• Develop and maintain data models, integration frameworks, and storage solutions (cloud / on-prem / hybrid).
• Create scalable and reliable ETL / ELT processes to extract, transform, and load data from various sources into data warehouses or data lakes.
• Ensure adherence to data governance, security, and compliance standards (GDPR, HIPAA, SOX).
• Implement best practices for data quality, lineage, and metadata management.
• Define and maintain the overall data solution architecture, including integration patterns, data models, and governance frameworks.
• Collaborate with business stakeholders to translate requirements into technical designs that meet performance, security, and compliance standards.
• Oversee implementation of data platforms (e.g., cloud, on-premise, hybrid) ensuring scalability and interoperability.
• Establish and enforce architecture principles, standards, and best practices across development teams.
• Provide technical leadership during project lifecycle : design reviews, solution validation, and deployment strategies.
• Partner with IT security and compliance teams to embed security controls and regulatory adherence into all solutions.
• Evaluate emerging technologies and recommend adoption strategies aligned with enterprise goals.
• Clean, transform, and organize raw data from multiple sources into usable formats.
• Implement and enforce data quality, security, and governance policies, and ensure data is backed up and accessible.
• Work with data scientists, analysts, and stakeholders to understand business needs and provide data for analytics and decision-making.
• Evaluate and optimize existing data systems for improved performance, reliability, and speed.
• Create analytical tools and programs to help with data analysis and reporting.
• Partner with IT, BI, and business teams to translate requirements into technical solutions.
• Support advanced analytics initiatives by enabling reliable and accessible data infrastructure.

Job Requirements :

Knowledge, Skills, and Experience

Critical Skills / Technical Know-How

Competencies

Critical Success Factors & Key Challenges

Key Challenges

#LI-CY1

IND123

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.

$107,400 - $153,400

Operating Company : Corporate

Envista is a global family of more than 30 trusted dental brands, united by a shared purpose : to partner with professionals to improve lives. Envista helps its partners deliver the best possible patient care through industry-leading products, solutions, and technology. Our comprehensive portfolio, including dental implants and treatment options, orthodontics, and digital imaging technologies, covers an estimated 90% of dentists’ clinical needs for diagnosing, treating, and preventing dental conditions as well as improving the aesthetics of the human smile.

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 : compliance / posters / pdf / eeopost.pdf.

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.