Enterprise Data Architect

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

The Role:

Xylem is seeking an Enterprise Data Architect to design and guide the evolution of our enterprise-wide data architecture across both legacy and modern cloud platforms. In this role, you’ll define scalable, secure, and high-performing solutions that enable advanced analytics, reporting, and AI/ML capabilities across the organization. You will collaborate closely with cross-functional IT and business teams to ensure that data is managed as a strategic asset—supporting Xylem’s mission of solving water through digital innovation.

Core Responsibilities:

Enterprise Data Architecture Design
- Develop and maintain an enterprise-wide data architecture framework spanning data integration, modeling, storage, access, and governance.
- Architect solutions across modern cloud platforms (Azure, Databricks) and enterprise applications (SAP, Salesforce, Dynamics).
- Lead integration of legacy systems (Oracle, Cognos, ECC, Business Objects) with modern architectures to support digital transformation.
- Define data flows, semantic models, and architecture blueprints supporting analytics and AI/ML initiatives.

Collaboration Across Architecture and Business Domains
- Partner with Application, Infrastructure, Security, and Network architects to align solutions with enterprise standards and compliance requirements.
- Engage with IT and business leaders to capture requirements and ensure architecture supports both operational and strategic goals.
- Serve as an architectural advisor for enterprise modernization programs involving ERP, CRM, and cloud platforms.

Governance, Standards, and Lifecycle Management
- Establish and enforce data modeling standards, naming conventions, and integration patterns across platforms.
- Support data governance initiatives and ensure compliance with regulatory and enterprise data policies.
- Ensure architecture accounts for lifecycle management, metadata, lineage, security, and retention strategies.

Cloud & Platform Enablement
- Design and guide implementation of Lakehouse architectures leveraging Databricks and Azure components (ADF, Data Lake, Synapse).
- Support ingestion and modeling of structured and semi-structured data from SAP Datasphere, Salesforce, and Dynamics.
- Optimize design for scalability, performance, and cost efficiency using native cloud services and automation.

Required Qualifications:

- Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).
- 10+ years of experience in enterprise data architecture across both legacy and cloud-native environments.
- Expertise across:
  • SAP (S/4HANA, ECC, Datasphere)
  • Databricks (Delta Lake, Unity Catalog, Lakehouse)
  • CRM Platforms (Salesforce, Microsoft Dynamics)
  • Legacy BI & DBMS (Oracle, Cognos, Business Objects, SAP BW)
  • Azure Data Services (ADF, Data Lake, Synapse, Azure SQL)

Technical Proficiencies:

- Integration Patterns: Batch, streaming, APIs, OData, SAP connectors, JDBC/ODBC, REST
- Modeling Techniques: Dimensional, normalized, data vault, star/snowflake schema
- Architecture Domains: OLTP/OLAP systems, MDM, data virtualization
- Security & Compliance: RBAC, encryption, data masking, GDPR, HIPAA
- DevOps & Automation: GitHub, Terraform, CI/CD pipelines for data deployment
- Observability: Azure Monitor, Databricks observability, lineage tracking

Preferred Certifications:

- Azure Solutions Architect Expert or Azure Data Engineer Associate
- SAP Certified Technology Specialist (Datasphere, HANA)
- Databricks Certified Architect
- TOGAF or equivalent enterprise architecture certification

What Success Looks Like:

- Clear, consistent data architecture blueprints spanning multiple systems and platforms.
- Seamless collaboration with Solution Architects and IT leaders across domains.
- Trusted partnerships with business and IT stakeholders to drive data-driven decision-making.
- Accelerated modernization through scalable, secure, and integrated architectures.

Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-us