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Envista Sr. Data Architect (Remote-Brea, CA)

Lensa

Boston (MA)

Remote

USD 96,000 - 179,000

Full time

Yesterday
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Job summary

A leading company is seeking a Senior Data Architect to join their Data and Analytics team. This role involves modernizing data architecture, building cloud data pipelines, and ensuring data quality. Ideal candidates will have extensive experience in Azure and Snowflake, along with strong data modeling skills. The position offers a competitive salary and opportunities for professional growth.

Benefits

Bonuses
Health benefits
401K

Qualifications

  • 12+ years in data engineering or 8+ years with a Master’s degree.
  • At least 4 years of experience with Azure and Snowflake.

Responsibilities

  • Architect complex data solutions in Azure and Snowflake.
  • Drive Data Quality and Data Lineage initiatives.
  • Implement data pipelines for ingestion and transformation.

Skills

SQL
Python
Data Modeling
Agile

Education

Bachelor's degree in Computer Science/Engineering
Master’s degree

Tools

Azure
Snowflake
Data Factory
Coalesce
Profisee

Job description

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Lensa is the leading career site for job seekers at every stage of their career. Our client, Envista Holdings Corporation, is seeking professionals. Apply via Lensa today!

Job Description
JOB SUMMARY

The Envista Senior Data Architect is a critical member of the enterprise data and analytics (D&A) team. This position works with D&A analysts to translate functional requirements into finished data and analytics products.

As a Senior Data Architect, you will be part of a Data and Analytics team that is modernizing and transforming our data and reporting capabilities by implementing a new modernized data architecture. You should have hands-on data architecture experience, guide and mentor the team on best practices, and perform hands-on coding daily.

This role involves building and supporting cloud data pipelines around the enterprise data warehouse, migrating from On-Premises to Cloud, advocating for continuous improvement in data quality and pipeline management, and ensuring a strong data model strategy.

The Data and Analytics team supports over 3,000 users across 30 global sites using multiple BI tools, including an enterprise data warehouse and a downstream master data management application.

Primary Duties & Responsibilities
  • Architect complex data solutions in Azure and Snowflake Cloud environments.
  • Guide team on migrating processes and data from On-Premises Oracle/SQL Server to Azure cloud and Snowflake.
  • Maintain Azure components and services.
  • Drive Data Quality and Data Lineage initiatives.
  • Create a Data Products ecosystem and a Data Catalog for user self-service and data exploration.
  • Enable automation for deployment using CI/CD practices.
  • Implement data pipelines for ingestion, standardization, and transformation into business datasets.
  • Perform unit and integration testing of data pipelines.
  • Handle data integration at scale with Azure Data Factory.
  • Conduct code reviews.
  • Collaborate with Analysts and SMEs to translate business needs into curated datasets.
  • Document data pipelines for maintainability.
  • Work with system owners to incorporate business changes into data pipelines.
  • Design scalable data architecture for future growth, including warehousing, streaming analytics, and visualization.
  • Assist in testing, governance, data quality, training, and documentation.
  • Engage with stakeholders to understand, interpret, and deliver technical solutions.
Job Requirements
  • Bachelor's degree in Computer Science/Engineering or related field with 12+ years in data engineering, or Master’s with 8+ years.
  • At least 4 years of experience with Azure cloud platforms.
  • At least 4 years of experience with Snowflake data warehouses.
  • Hands-on Data Modeling experience (Kimball, Imon methodologies).
  • Experience across all phases of data analytics development: requirements, architecture, design, testing, deployment.
Preferred Qualifications
  • Strong SQL and Python skills.
  • Experience tuning ETL/ELT processes and databases for large datasets.
  • Familiarity with Agile methodologies.
  • Hands-on with Data Ingestion tools like ADF.
  • Experience with transformation tools like Coalesce is a plus.
  • Ability to maintain and improve existing applications.
  • Excellent team player, mentor, eager to learn new technologies.
  • Experience with Master Data Management tools like Profisee is highly desirable.

Target Salary Range: $96,300 - $178,900. Compensation depends on various factors including location, skills, experience, and performance. Benefits may include bonuses, health benefits, 401K, etc.

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