Provide leadership in defining and recommending enterprise data and analytics architectures, including conceptual, logical, and physical data models.
Establish architectural standards and design patterns for data ingestion, integration, storage, analytics, and visualization.
Develop and maintain enterprise roadmaps for data platforms and emerging technologies, ensuring strong alignment between business strategy, data strategy, and technology investments.
Lead the architecture and design of modern analytics platforms, including cloud‑based solutions such as Azure, Microsoft Fabric, enterprise data warehouses, and BI tools.
Guide the development of scalable and efficient ETL/ELT pipelines, data lakes, and analytics environments while ensuring performance, reliability, security, and cost optimization.
Partner closely with business and IT stakeholders to define and implement enterprise data governance frameworks.
Establish standards and approaches for data quality, metadata management, master and reference data, and data lifecycle management.
Design and document enterprise data flows across key operational systems such as AMI, CIS, ERP, CMMS, SCADA, and GIS.
Serve as a trusted advisor to executive leadership, program managers, and business stakeholders by translating complex technical concepts into clear, actionable guidance.
Mentor solution architects and technical teams, promoting best practices in enterprise architecture.

Requirements

Bachelor’s degree in Engineering, Computer Science, Information Systems, or related field
10+ years of experience in enterprise architecture, data architecture, or analytics architecture roles
Demonstrated experience designing and implementing enterprise data and analytics platforms
Familiarity with architecture frameworks such as TOGAF, UAF.
Strong understanding of data modeling, data integration, analytics, and BI architectures
Experience with cloud platforms and modern data ecosystems (Azure preferred)
Proven ability to work across business and technical teams in complex, multi‑stakeholder environments
Experience in the water, wastewater, or utility sector, including familiarity with utility operational systems including SCADA, AMI, asset management, customer systems, or regulatory reporting (preferred)
Experience establishing or leading enterprise data governance programs (preferred)
Knowledge of utility operational systems and data domains (preferred)
Experience supporting large, multi‑year enterprise transformation programs (preferred)
Professional certifications (e.g., Azure, data architecture, or analytics certifications) (preferred)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architectureanalytics architecturedata modelingdata integrationETLELTdata governancecloud platformsAzureBI architectures

Soft Skills

leadershipmentoringcommunicationcollaborationadvisory

Certifications

Azure certificationdata architecture certificationanalytics certification