IT Senior Architect, Data Solution (Hybrid)

at  Eversource

IT Senior Architect, Data Solution (Hybrid)
This is a hybrid role. The first three months are fulltime in the office.

OUR TEAM

We are looking for an innovative Data Solutions Architect responsible for designing, creating, and managing Eversource’s data architecture. This role is critical in establishing a solid foundation for data management, ensuring data is organized, secure, and aligned with objectives.
A data architect will help design warehouses, and define how data will be collected and organized.
The Data Solution Architect’s responsibilities include gathering requirements and functional specifications and assessing the current systems in place to identify the ins and outs of data source to consumption.
As Data Solutions Architect you will also be able to regularly update the company on any developments in architecture projects.

TECHNICAL KNOWLEDGE/SKILL/EDUCATION/LICENSES/CERTIFICATIONS:

Technical Knowledge/Skill:

• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), and modern data warehouse tools (Databricks)
• Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
• Experience leading projects involving data warehousing, data modeling, and data analysis
• Strong ability in programming languages such as Java, Python, and C/C++
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
• Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
• Ability to assess traditional and modern data architecture components based on business needs
• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
• Ability to regularly learn and adopt new technology, especially in the ML/AI realm
• Strong analytical and problem-solving skills
• Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
• Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
• Ability to guide solution design and architecture to meet business needs

ESSENTIAL FUNCTIONS:

• Reviews business context for solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, (which may include RFPs or prototype development), selecting the most optimal option, and the development of a roadmap for the selected solution.
• Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
• Designs the structure and layout of data systems, including databases, warehouses, and lakes
• Communicates the architecture to the stakeholders and collaborates and coordinates with other architects and engineers in the formalization and adoption of IT standards and procedures.
• Selects and implements database management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures
• Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms
• Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps
• Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
• Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums
• Defines and manages standards, guidelines, and processes
• Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions
• Evaluates and recommends emerging technologies for data management, storage, and analytics