Build and optimize data models, data warehouses, data marts, and semantic layers that support reporting and analytics requirements.
Develop and maintain ELT/ETL processes to ensure reliable and efficient movement of data across platforms.
Support cloud-based and enterprise data architectures with a focus on scalability, performance, and maintainability.
Partner with enterprise IT teams to align LCS data solutions with corporate standards and technology roadmaps.
Business Intelligence Enablement
Provide high-quality, trusted datasets for Power BI dashboards, operational reports, and self-service analytics.
Collaborate with BI developers and analysts to understand reporting requirements and translate them into robust data solutions.
Improve data availability, refresh performance, and reliability across key business intelligence platforms.
Support development of KPI definitions and standardized business metrics.
Data Quality & Governance
Establish and maintain processes to improve data quality, consistency, integrity, and completeness.
Partner with business and functional leaders to define data standards, ownership, and governance procedures.
Implement monitoring, validation, and automated quality controls to ensure trusted business insights.
Support compliance with enterprise data management, privacy, cybersecurity, and governance requirements.
AI & Advanced Analytics Readiness
Develop data structures that support predictive analytics, automation, and AI-enabled solutions.
Collaborate with IT, automation, and AI teams to ensure data readiness for emerging technologies.
Support creation of reusable, governed data assets that enable future Copilot, AI, and advanced analytics initiatives.
Drive continuous improvement of analytics infrastructure and data engineering practices.
Stakeholder Partnership
Act as a technical advisor on data architecture, integration approaches, and analytics enablement opportunities.
Translate complex technical concepts into clear business language for non-technical audiences.
Contribute to strategic initiatives that increase productivity, operational visibility, and business performance.
The Essentials - You Will Have
Technical Expertise
Strong experience in data engineering, data architecture, and enterprise analytics environments.
Advanced knowledge of SQL and relational database design.
Experience building and maintaining ETL/ELT pipelines.
Experience with Azure Data Platform technologies such as
Azure Data Factory
Azure Synapse
Azure Databricks
Microsoft Fabric
Dataverse
Azure SQL
Experience supporting Power BI, tabular models, and semantic data layers.
Understanding of API integrations, enterprise applications, and data interoperability patterns.
Familiarity with modern DevOps practices, version control, and automated deployment methods.
Preferred Experience
Bachelor’s or Associate Degree in Information Technology, Computer Science, Business Administration, or a related field (completed or in the final stages of completion), or equivalent professional experience.
Experience supporting service, manufacturing, industrial automation, engineering, or technology organizations.
Familiarity with ERP, CRM, service management, and financial systems.
Experience with AI, advanced analytics, or automation platforms.
Knowledge of Agile delivery methodologies and product-based delivery models.
Key Soft Skills
Strategic Thinking - Understands business priorities and designs scalable data solutions that support long-term organizational goals.
Collaboration & Influence - Builds strong relationships across business, IT, and leadership teams. Effectively influences decisions without direct authority.
Problem Solving - Demonstrates strong analytical and troubleshooting skills. Able to identify root causes and implement sustainable solutions.
Success Measures
Deliver trusted, scalable data assets that support LCS reporting and analytics.
Improve data quality, consistency, and governance across critical business processes.
Increase adoption and effectiveness of BI and self-service analytics solutions.
Enable AI-ready and future-focused data foundations.
Reduce manual reporting effort through automation and modern data engineering practices.
Modality: Hybrid
What We Offer
Our benefits package includes …
Comprehensive mindfulness programs with a premium membership to Calm.
Volunteer Paid Time off available after 6 months of employment for eligible employees.
Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
Employee Assistance Program.
Personalized wellbeing programs through our OnTrack program
On-demand digital course library for professional development... and other local benefits!
Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
We believe that employee diversity is an important element of our common future. We provide opportunities for talent growth with the entire organization. We support equality by celebrating the individuality of every person, regardless of their origin and identity. We appreciate the unique cultural pattern and variety of experiences in each of us. We invite all who want to join and change the world of Our organization.
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Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
