Data Architect responsible for defining enterprise data architecture on AWS and Databricks Lakehouse platforms. Enabling scalable data lakes and enterprise analytics for financial services organizations.
About the role
- Senior Data Architect at Watts responsible for leading data architecture and strategies. Driving innovation and advanced analytics in a data-rich manufacturing environment.
Responsibilities
- 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.
Requirements
- 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/4HANA, 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.
Benefits
- Competitive compensation based on your skills, qualifications and experience
- Comprehensive medical and dental coverage, retirement benefits
- Family building benefits, including paid maternity/paternity leave
- 10 paid holidays and Paid Time Off
- Continued professional development opportunities and educational reimbursement
- Additional perks such as fitness reimbursements and employee discount programs
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