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Specialist- Data Management Solution Architect

30+ days ago 2026/07/04
Manufacturing
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Job description

Job Summary

Solution Architect – EHS Domain 
At Eaton, we are modernizing our data usage and global teams to accelerate digital transformation. Our Global IT organization is leveraging agile, lean six sigma, and building a product-centric organization to adapt and respond more quickly to changing business needs. Join our Information Technology team to build data domain across various functions, leading transformative changes across our organization, global data processes, and platforms.
Within our Integrations Data Management organization, we are seeking a Solution Architect to design data domain on Snowflake platform for EHS, EU Taxonomy and EPM 2.0 .
This role will partner with global EHS, Sustainability, Finance, Engineering, and other functional stakeholders to design scalable, governed, product centric data capabilities that align with Eaton’s Data Mesh strategy and enterprise platforms such as Snowflake, Azure Data Factory (ADF), Power BI, and ServiceNow.



Job Responsibilities
  • Accountable for end to end solutions developed for EHS domain
  • Architect end to end solutions for the EHS data domain following IDM’s standardized architecture models including conceptual, logical, physical, and semantic structures.
  • Design layered data models (Bronze → Silver → Gold) and optimize SQL for performance and scalability.
  • Ensure designs integrate seamlessly across domains including Finance, Supply Chain, Engineering, HR, Sustainability, and others
  • Build and maintain ELT/ETL pipelines in Azure Data Factory feeding Snowflake, with robust orchestration and monitoring.
  • Apply Data Mesh principles—domain owned data, interoperability, governed access, and contract based consumption
  • Partner with data engineers to build scalable, automated ELT/ETL pipelines using ADF, ensuring robust orchestration, monitoring, lineage, and quality checks
  • Improve developer experience via templates, frameworks, reusable ingestion playbooks, and guardrails
  • Collaborate with EHS reporting teams to expose curated datasets for Power BI
  • Implement data quality checks, runbooks, and mapping documentation; participate in code reviews.
  • Identify opportunities for capability enhancements, new tools, and architecture modernization across the EHS domain.
  • Act as a thought partner to functional teams on data driven decision making, automation, and analytics maturity.
  • Operate within ServiceNow workflows for requests and incidents.
  • You will play a critical role in enabling automated, compliant, and repeatable data flows that support initiatives such as EU Taxonomy, EHS regulatory reporting, EPM 2.0, and broader sustainability data programs

Qualifications:
  • 10+ years in data engineering with hands-on experience in Azure Data Factory, Snowflake, and advanced SQL.
  • Bachelor's degree from an accredited insititution. Masters or advanced degree is preferred

Skills:

• Strong understanding of data modeling, performance tuning, and ETL best practices.
• Experience integrating external APIs/vendor data securely into enterprise platforms.
• Proven collaboration with analytics/reporting teams and ability to document processes clearly.



Soft Skills Required
• Ability to operate independently and drive clarity in ambiguous environments. 
• Strong communication skills to guide functional partners and engineering teams. 
• Bias for action, problem solving mindset, and orientation toward cross domain collaboration. 
• Ability to influence and uphold architectural standards across diverse stakeholders.



Preferred Qualifications
• Familiarity with Snowflake OAuth integrations, and Power BI connectivity patterns.
• Knowledge of ServiceNow/JIRA workflows for change and incident management.
Location & Work Pattern
• Pune, India (Hybrid) – Collaboration with global stakeholders across time zones.




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