Sr. Data Architect

Description

• Optimize data ingestion, storage, and retrieval performance across structured and unstructured datasets.
• Define and implement enterprise data architecture strategies aligned with Watts Water’s digital transformation initiatives.
• Guide the evaluation and adoption of modern technologies supporting AI/ML, advanced analytics, and real-time insights.
• 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.
• Establish best practices for data modeling, lineage, and governance frameworks.
• Mentor data engineers and analysts on architecture and data management best practices.
• Maintain productive and collaborative relationships with other Watts employees.
• Mentor junior data engineers and code/design review of team members data deliverables.
• Partner with business stakeholders to translate analytical and reporting needs into robust architectural solutions.

Requirements

• Strong hands-on experience designing and implementing data solutions in Azure, Snowflake, and/or Databricks.
• 15+ years of experience in data architecture, data engineering, data lakehouse architecture, streaming data architecture, and enterprise data solutions design.
• Ability to occasionally lift and carry light objects, such as office supplies, documents, or small equipment.
• Adherence to all personnel policies, procedures, and standards of process as implemented by Watts.
• 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.
• Ability to be flexible and adapt to changing work priorities and stressful conditions.
• Deep understanding of ETL/ELT processes, data modeling (Kimball/Inmon), Data quality, and metadata management.
• Ability to remain seated at a desk or workstation for extended periods.
• Ability to physically move around the office, organize or transport files, packages, or other office-related materials.
• Ability to read documents, use a computer, and perform data entry tasks.
• Bachelor’s degree in computer science, Information Systems, or a related field.
• Experience integrating SAP data (S/4HANA, or BW) with modern cloud data platforms.
• Ability to communicate clearly with management and coworkers, particularly in meetings or phone calls.
• Expert-level knowledge of Azure platform services, including Azure Fabric and related data tools.
• Strong problem-solving orientation and ability to navigate complex technical ecosystems.
• Punctuality and dependability.
• Ability to operate standard office equipment such as computers, printers, phones, and copiers.
• Proven success leading large-scale data modernization or cloud migration initiatives.
• Working knowledge of data governance, security, and compliance frameworks.
• Ability to perform repetitive tasks like typing on a keyboard or using a mouse for extended periods.
• Microsoft Azure architecture or other relevant certification in cloud data domain is a plus.

Benefits

• Family building benefits, including paid maternity/paternity leave
• Comprehensive medical and dental coverage, retirement benefits
• 10 paid holidays and Paid Time Off
• Organic career growth in large data ecosystems would be a big plus.
• Continued professional development opportunities and educational reimbursement
• Competitive compensation based on your skills, qualifications and experience
• Additional perks such as fitness reimbursements and employee discount programs

Training + Development

Interview process

Visa Sponsorship

Security clearance