
Global Enterprise Data Architect
INDUSTRIAL SCIENTIFIC CORPORATION
Remote · USJob$170–226K/yrSeen 2 days agoSeen in employer's feed 2 days ago
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At a glance
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Job overview
Industrial Scientific Corporation is hiring a Global Enterprise Data Architect to develop data products and lead developers delivering ETL, integrations, reporting, and visualization solutions. The role designs data warehouses and databases, builds analytics and cloud data solutions, and supports data quality, master data management, and enterprise integrations. It collaborates with architecture, business, data science, and analyst teams and serves internal and external customers with data needs.
Skills & qualifications
Skills
Full job description
******* Industrial Scientific Corporation is the hiring corporation for this position.*** Global Enterprise Data Architect (Industrial Scientific Corporation; Pittsburgh, PA): Work closely with the architecture, business and data science team to ensure data availability. Develop data products and lead a team of developers focused on delivering Extract, Transform, Load (ETL), integrations, reports and visualization solutions. Design and build data warehouses and databases using multiple data assets sourced from Oracle ERP, Salesforce and cloud databases such as Oracle ADW, Redshift and Synapse. Act as a lead for all reporting needs through Oracle Services, AI Cloud and On-prem. Develop and maintain solutions in Oracle Analytics Cloud and stitch multiple services and tools for data integration and pipeline build. Ensure data quality, integrity, and security by implementing data quality frameworks. Develop and maintain ETL processes to extract data from various sources, transform it to fit the target system, and load it into a Data Warehouse and Data Store Develop and maintain BI dashboards and reports using tools such as OAC, BI Publisher, Power BI, Tableau, etc., Work with cloud computing platforms such as OCI, AWS, Azure, or Google Cloud Platform to design and build scalable and cost-effective data solutions in cloud. Oversee integrations in OICS to maintain data consistency across enterprise systems. Develop required documentation such a technical specification, mapping documents and act as a steward for data engineering practice. Automate data processing tasks where possible using automation tools. Contribute to Master data management and enhance reference data assets. Assess technical feasibility of data product solutions through quick software and service stitching in cloud platforms. Collaborate with Data Analysts, Data Scientists, Business Analysts providing insights and recommendations based on data analysis Responsible for Internal and External customers with specific data needs. Develop scripts in Python, Spark for data analysis. The position is 100% remote. Salary: $170,000 - $226,000 per year For full benefits visit: https://careers.fortive.com/benefits/ To apply email a resume to [email protected] and reference Position Number: 00073376 #LI-DNI
How this job compares
Set against the 1,377 open Data Architect jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$170–226K/yr
- Pennsylvania median$133–244K/yr29 salary ranges
- US median$133–229K/yr1,119 salary ranges
This range's midpoint, $198K, is close to the Pennsylvania median midpoint ($194K) — in the middle half of Data Architect salary ranges in Pennsylvania.
- Openings
- Olive Jobs lists 36 open Data Architect jobs in Pennsylvania and 1,377 across the US. 14% of them nationwide are listed as remote or flexible.
- Experience
- Data Architect postings that state a minimum ask for 8 years of experience at the median; the middle half ask for 6 to 10 years (1,238 postings).
- Education
- 520 of the 1,377 open Data Architect jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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