IT Senior Data Architect developing data solutions including data modeling, governance, and management for Eversource in a hybrid role.
Responsibilities
Develop and implement data solutions that range from data modeling, data engineering, data visualization, data governance, and data management operations to meet business needs.
Provide customer data domain expertise by establishing and governing a standardized Customer Data and Analytics Reference Architecture that defines ecosystem-wide functional components, integration patterns, data governance controls, and security standards.
Communicates the data architecture to the stakeholders and collaborates and coordinates with other architects and engineers in the formalization and adoption of IT standards and procedures.
Develops and executes solutions to reduce the percentage of time spent on reactive work.
Work with development teams to ensure they understand the solutions they are building.
Proactively analyze data flows to answer key questions from stakeholders.
Collaborate with team members and client stakeholders to understand data architecture needs and deliver data solutions.
Produce project deliverables that may include database designs, data ingestion processes, data integration solutions, job orchestration, documentation, and reporting.
Facilitate the establishment and execution of the roadmap and vision for information delivery and management including the enterprise data warehouse, BI & analytics and Data management.
Requirements
Bachelor’s degree in Computer Science, Information Systems, or equivalent education and work experience
Minimum of 8-10 years of experience related to Data solutions and Data architecture
Customer data domain expertise preferred, including experience establishing and governing a standardized Customer Data and Analytics Reference Architecture
Prior experience as Data Architect, should have experience building Data Flow Diagram, ER Diagram etc.
Strong Knowledge of Data Governance, Data Standards, data standardization, data mastering and Metadata Management
Demonstrated understanding of Data management, and Data Visualization
Established experience delivering information management solutions to large numbers of end users and common provisioning of the enterprise data for all corporate functions & business units.
Prior experience in data analysis and SQL query tuning.
Excellent oral and written communication.
Analytical and problem-solving skills.
Ability to understand system integration between multiple large systems.
Ability to work under indirect supervision.
Broad understanding of information technology topics.
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