Sr. Data Architect

We're Watts. Together, we're reimagining the future of water.

We feel proud every day about what we do. We're all part of the same crucial mission, no matter what function we support -- it's to provide safe, clean water for the world, and to protect our planet's most valuable resource.

For 150 years, Watts has built best-in-class products that are trusted by customers in residential and commercial settings across the world. We are at the forefront of innovation, working with cutting‐edge technology to provide smart and connected, sustainable water solutions for the future. Watts is a leading brand with a quality reputation – and we have a dynamic future ahead.

Are you a strong data architect who thrives on solving complex data challenges? Join us as a Senior Data Architect and help drive transformation into a fast‐paced, data-rich manufacturing environment. In this high‐impact role, you will go beyond data architecture—you will shape data strategy, influence decisions, and lead innovation in how we use data to power growth. Watts Water is seeking a seasoned Senior Data Architect to lead the data architecture, development, and optimization of our enterprise data ecosystem.

This role will drive our next‐generation data platform, leveraging Azure Fabric, Snowflake, Databricks, and SAP ecosystem to enable advanced analytics, data governance, artificial intelligence, and sustainable scalability across global business units.

• Define and implement enterprise data architecture strategies aligned with Watts Water's digital transformation initiatives.
• Design data models and integration patterns across Azure Fabric, Snowflake, Databricks, and SAP environments.
• Collaborate with cross‑functional teams to develop scalable data pipelines and ensure consistent usage of a unified data fabric.
• Optimize data ingestion, storage, and retrieval performance across structured and unstructured datasets.
• Establish best practices for data modeling, lineage, and governance frameworks.
• Partner with business stakeholders to translate analytical and reporting needs into robust architectural solutions.
• Guide the evaluation and adoption of modern technologies supporting AI/ML, advanced analytics, and real‑time insights.
• Mentor data engineers and analysts on architecture and data management best practices.

• Bachelor's degree in computer science, information systems, or a related field.
• 15+ years of experience in data architecture, data engineering, data lakehouse architecture, streaming data architecture, and enterprise data solutions design.
• Organic career growth in large data ecosystems would be a big plus.
• Expert‐level knowledge of Azure platform services, including Azure Fabric and related data tools.
• Strong hands‐on experience designing and implementing data solutions in Azure, Snowflake, and/or Databricks.
• Experience integrating SAP data (S/4
  
  HANA, or BW) with modern cloud data platforms.
• Deep understanding of ETL/ELT processes, data modeling (Kimball/Inmon), data quality, and metadata management.
• Working knowledge of data governance, security, and compliance frameworks.
• Proven success leading large‐scale data modernization or cloud migration initiatives.
• Mentor junior data engineers and code/design review of team members data deliverables.

• Familiarity with API‐driven integrations and data virtualization concepts. Experience with Power BI, data cataloging, and analytics enablement. Excellent communication, collaboration, and stakeholder management skills.
• Strong problem‐solving orientation and ability to navigate complex technical ecosystems.
• Microsoft Azure architecture or other relevant certification in cloud data domain is a plus.

• Commitment to Watts' values of integrity, accountability, continuous improvement and innovation, and transparency.
• Punctuality and dependability.
• Ability to be flexible and adapt to changing work priorities and stressful conditions.
• Adherence to all personnel policies, procedures, and standards of process as implemented by Watts.
• Maintain…